-
Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions
K. Long, J. Cortés and N. Atanasov
Conference on Neural Information Processing Systems (NeurIPS), 2025.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Long_GLF_NeurIPS25,
author = {Long, Kehan and Cortés, Jorge and Atanasov, Nikolay},
title = {Certifying Stability of Reinforcement Learning Policies using Generalized {L}yapunov Functions},
booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
year = {2025},
url = {https://arxiv.org/abs/2505.10947},
doi = {https://openreview.net/forum?id=N67DlqK5C4}
}
-
LTLCodeGen: Code Generation of Syntactically Correct Temporal Logic for Robot Task Planning
B. Rabiei, M. Kumar A. R., Z. Dai, S. L. S. R. Pilla, Q. Dong and N. Atanasov
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 19240-19247, 2025.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Rabiei_LTLCodeGen_IROS25,
author = {Rabiei, Behrad and Kumar A. R., Mahesh and Dai, Zhirui and Pilla, Surya Lakshmi Subba Rao and Dong, Qiyue and Atanasov, Nikolay},
title = {{LTLCodeGen}: Code Generation of Syntactically Correct Temporal Logic for Robot Task Planning},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2025},
pages = {19240-19247},
url = {https://arxiv.org/abs/2503.07902},
doi = {https://doi.org/10.1109/IROS60139.2025.11246351}
}
-
Learning Generalizable Feature Fields for Mobile Manipulation
R.-Z. Qiu, Y. Hu, Y. Song, G. Yang, Y. Fu, J. Ye, J. Mu, R. Yang, N. Atanasov, S. Scherer and X. Wang
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 20952-20959, 2025.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Qiu_GeFF_IROS25,
author = {Ri-Zhao Qiu and Yafei Hu and Yuchen Song and Ge Yang and Yang Fu and Jianglong Ye and Jiteng Mu and Ruihan Yang and Nikolay Atanasov and Sebastian Scherer and Xiaolong Wang},
title = {Learning Generalizable Feature Fields for Mobile Manipulation},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2025},
pages = {20952-20959},
url = {https://arxiv.org/abs/2403.07563},
doi = {https://doi.org/10.1109/IROS60139.2025.11246780}
}
-
LATMOS: Latent Automaton Task Model from Observation Sequences
W. Zhan, Q. Dong, E. Sebastián and N. Atanasov
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 21032-21039, 2025.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Zhan_LATMOS_IROS25,
author = {Weixiao Zhan and Qiyue Dong and Eduardo Sebastián and Nikolay Atanasov},
title = {{LATMOS}: Latent Automaton Task Model from Observation Sequences},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2025},
pages = {21032-21039},
url = {https://arxiv.org/abs/2503.08090},
doi = {https://doi.org/10.1109/IROS60139.2025.11246452}
}
-
Neural Configuration Distance Function for Continuum Robot Control
K. Long, H. Parwana, G. Fainekos, B. Hoxha, H. Okamoto and N. Atanasov
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 358-364, 2025.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Long_ContinuumCDF_IROS25,
author = {Kehan Long and Hardik Parwana and Georgios Fainekos and Bardh Hoxha and Hideki Okamoto and Nikolay Atanasov},
title = {Neural Configuration Distance Function for Continuum Robot Control},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2025},
pages = {358-364},
url = {https://arxiv.org/abs/2409.13865},
doi = {https://doi.org/10.1109/IROS60139.2025.11246945}
}
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MISO: Multiresolution Submap Optimization for Efficient Globally Consistent Neural Implicit Reconstruction
Y. Tian, H. Cao, S. Kim and N. Atanasov
Robotics: Science and Systems (RSS), 2025.
[bib]
[pdf]
[doi]
[arXiv]
-
Generalizable Motion Planning via Operator Learning
S. Matada*, L. Bhan*, Y. Shi and N. Atanasov
International Conference on Learning Representations (ICLR), 2025.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{MatadaBhan_PNO_ICLR25,
author = {Sharath Matada* and Luke Bhan* and Yuanyuan Shi and Nikolay Atanasov},
title = {Generalizable Motion Planning via Operator Learning},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2025},
url = {https://arxiv.org/abs/2410.17547},
doi = {https://openreview.net/forum?id=UYcUpiULmT}
}
-
High Accuracy Aerial Maneuvers on Legged Robots using Variational Integrator Discretized Trajectory Optimization
S. Beck*, C. Nguyen*, T. Duong, N. Atanasov and Q. Nguyen
IEEE International Conference on Robotics and Automation (ICRA), pp. 10253-10260, 2025.
[bib]
[pdf]
[doi]
@inproceedings{BeckNguyen_VITO_ICRA25,
author = {Scott Beck* and Chuong Nguyen* and Thai Duong and Nikolay Atanasov and Quan Nguyen},
title = {High Accuracy Aerial Maneuvers on Legged Robots using Variational Integrator Discretized Trajectory Optimization},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2025},
pages = {10253-10260},
doi = {https://doi.org/10.1109/ICRA55743.2025.11128413}
}
-
Control Strategies for Pursuit-Evasion Under Occlusion Using Visibility and Safety Barrier Functions
M. Zhou, M. Shaikh, V. Chaubey, P. Haggerty, S. Koga, D. Panagou and N. Atanasov
IEEE International Conference on Robotics and Automation (ICRA), pp. 12863-12869, 2025.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Zhou_VisibilityControl_ICRA25,
author = {Minnan Zhou and Mustafa Shaikh and Vatsalya Chaubey and Patrick Haggerty and Shumon Koga and Dimitra Panagou and Nikolay Atanasov},
title = {Control Strategies for Pursuit-Evasion Under Occlusion Using Visibility and Safety Barrier Functions},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2025},
pages = {12863-12869},
url = {https://arxiv.org/abs/2411.01321},
doi = {https://doi.org/10.1109/ICRA55743.2025.11128109}
}
-
A Deep Signed Directional Distance Function for Shape Representation
E. Zobeidi and N. Atanasov
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2689-2695, 2024.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Zobeidi_SDDF_IROS24,
author = {Ehsan Zobeidi and Nikolay Atanasov},
title = {A Deep Signed Directional Distance Function for Shape Representation},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2024},
pages = {2689-2695},
url = {https://arxiv.org/abs/2107.11024},
doi = {https://doi.org/10.1109/IROS58592.2024.10801713}
}
-
Stabilization of Nonlinear Systems through Control Barrier Functions
P. Mestres, K. Long, M. Leok, N. Atanasov and J. Cortés
IEEE Conference on Decision and Control (CDC), pp. 8858-8863, 2024.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Mestres_CBFStabilization_CDC24,
author = {Pol Mestres and Kehan Long and Melvin Leok and Nikolay Atanasov and Jorge Cortés},
title = {Stabilization of Nonlinear Systems through Control Barrier Functions},
booktitle = {IEEE Conference on Decision and Control (CDC)},
year = {2024},
pages = {8858-8863},
url = {https://arxiv.org/abs/2408.08398},
doi = {https://doi.org/10.1109/CDC56724.2024.10886378}
}
-
Safe Stabilizing Control for Polygonal Robots in Dynamic Elliptical Environments
K. Long, K. Tran, M. Leok and N. Atanasov
American Control Conference (ACC), pp. 312-317, 2024.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Long_PolygonEllipseCBF_ACC24,
author = {Kehan Long and Khoa Tran and Melvin Leok and Nikolay Atanasov},
title = {Safe Stabilizing Control for Polygonal Robots in Dynamic Elliptical Environments},
booktitle = {American Control Conference (ACC)},
year = {2024},
pages = {312-317},
url = {https://arxiv.org/abs/2310.00273},
doi = {https://doi.org/10.23919/ACC60939.2024.10644481}
}
-
Optimal Scene Graph Planning with Large Language Model Guidance
Z. Dai, A. Asgharivaskasi, T. Duong, S. Lin, M.-E. Tzes, G. J. Pappas and N. Atanasov
IEEE International Conference on Robotics and Automation (ICRA), pp. 14062-14069, 2024.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Dai_LLMPlanning_ICRA24,
author = {Zhirui Dai and Arash Asgharivaskasi and Thai Duong and Shusen Lin and Maria-Elizabeth Tzes and George J. Pappas and Nikolay Atanasov},
title = {Optimal Scene Graph Planning with Large Language Model Guidance},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2024},
pages = {14062-14069},
url = {https://arxiv.org/abs/2309.09182},
doi = {https://doi.org/10.1109/ICRA57147.2024.10610599}
}
-
Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control
A. Altawaitan, J. Stanley, S. Ghosal, T. Duong and N. Atanasov
IEEE International Conference on Robotics and Automation (ICRA), pp. 16937-16944, 2024.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Altawaitan_HamiltonianDynamicsLearning_ICRA24,
author = {Abdullah Altawaitan and Jason Stanley and Sambaran Ghosal and Thai Duong and Nikolay Atanasov},
title = {Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2024},
pages = {16937-16944},
url = {https://arxiv.org/abs/2309.09163},
doi = {https://doi.org/10.1109/ICRA57147.2024.10610395}
}
-
Dynamic Handover: Throw and Catch with Bimanual Hands
B. Huang, Y. Chen, T. Wang, Y. Qin, Y. Yang, N. Atanasov and X. Wang
Conference on Robot Learning (CoRL), 2023.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{HuangChen_DynamicHandover_CoRL23,
author = {Binghao Huang and Yuanpei Chen and Tianyu Wang and Yuzhe Qin and Yaodong Yang and Nikolay Atanasov and Xiaolong Wang},
title = {Dynamic Handover: Throw and Catch with Bimanual Hands},
booktitle = {Conference on Robot Learning (CoRL)},
year = {2023},
url = {https://arxiv.org/abs/2309.05655},
doi = {https://openreview.net/forum?id=dgwvY3H8PAS}
}
-
Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks
E. Sebastián, T. Duong, N. Atanasov, E. Montijano and C. Sagüés
IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS), pp. 142-148, 2023.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Sebastian_GraphIdentification_MRS23,
author = {Eduardo Sebastián and Thai Duong and Nikolay Atanasov and Eduardo Montijano and Carlos Sagüés},
title = {Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks},
booktitle = {IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS)},
year = {2023},
pages = {142-148},
url = {https://arxiv.org/abs/2307.04374},
doi = {https://doi.org/10.1109/MRS60187.2023.10416769}
}
-
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems
V. Duruisseaux, T. Duong, M. Leok and N. Atanasov
Learning for Dynamics and Control (L4DC), pp. 731-744, 2023.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Duruisseaux_LieFVIN_L4DC23,
author = {Valentin Duruisseaux and Thai Duong and Melvin Leok and Nikolay Atanasov},
title = {Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems},
booktitle = {Learning for Dynamics and Control (L4DC)},
year = {2023},
pages = {731-744},
url = {https://arxiv.org/abs/2211.16006},
doi = {https://proceedings.mlr.press/v211/duruisseaux23a.html}
}
-
Distributionally Robust Lyapunov Function Search Under Uncertainty
K. Long, Y. Yi, J. Cortés and N. Atanasov
Learning for Dynamics and Control (L4DC), pp. 864-877, 2023.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Long_LFSearch_L4DC23,
author = {Kehan Long and Yinzhuang Yi and Jorge Cortés and Nikolay Atanasov},
title = {Distributionally Robust {L}yapunov Function Search Under Uncertainty},
booktitle = {Learning for Dynamics and Control (L4DC)},
year = {2023},
pages = {864-877},
url = {https://arxiv.org/abs/2212.01554},
doi = {https://proceedings.mlr.press/v211/long23a.html}
}
-
Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories
P. Yang, S. Koga, A. Asgharivaskasi and N. Atanasov
Learning for Dynamics and Control (L4DC), pp. 64-75, 2023.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Yang_MBRL_ActivePerception_L4DC23,
author = {Pengzhi Yang and Shumon Koga and Arash Asgharivaskasi and Nikolay Atanasov},
title = {Policy Learning for Active Target Tracking over Continuous {SE(3)} Trajectories},
booktitle = {Learning for Dynamics and Control (L4DC)},
year = {2023},
pages = {64-75},
url = {https://arxiv.org/abs/2212.01498},
doi = {https://proceedings.mlr.press/v211/yang23a.html}
}
-
Safe and Stable Control Synthesis for Uncertain System Models via Distributionally Robust Optimization
K. Long*, Y. Yi*, J. Cortés and N. Atanasov
American Control Conference (ACC), pp. 4651-4658, 2023.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{LongYi_DRCCP_ACC23,
author = {Kehan Long* and Yinzhuang Yi* and Jorge Cortés and Nikolay Atanasov},
title = {Safe and Stable Control Synthesis for Uncertain System Models via Distributionally Robust Optimization},
booktitle = {American Control Conference (ACC)},
year = {2023},
pages = {4651-4658},
url = {https://arxiv.org/abs/2210.01341},
doi = {https://doi.org/10.23919/ACC55779.2023.10156525}
}
-
LEMURS: Learning Distributed Multi-Robot Interactions
E. Sebastian, T. Duong, N. Atanasov, E. Montijano and C. Sagüés
IEEE International Conference on Robotics and Automation (ICRA), pp. 7713-7719, 2023.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Sebastian_Lemurs_ICRA23,
author = {Eduardo Sebastian and Thai Duong and Nikolay Atanasov and Eduardo Montijano and Carlos Sagüés},
title = {{LEMURS}: Learning Distributed Multi-Robot Interactions},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2023},
pages = {7713-7719},
url = {https://arxiv.org/abs/2209.09702},
doi = {https://doi.org/10.1109/ICRA48891.2023.10161328}
}
-
Information-Theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning
D. Larsson, A. Asgharivaskasi, J. Lim, N. Atanasov and P. Tsiotras
IEEE International Conference on Robotics and Automation (ICRA), pp. 6937-6943, 2023.
[bib]
[pdf]
[doi]
[arXiv]
-
Learning Continuous Control Policies for Information-Theoretic Active Perception
P. Yang, Y. Liu, S. Koga, A. Asgharivaskasi and N. Atanasov
IEEE International Conference on Robotics and Automation (ICRA), pp. 2098-2104, 2023.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Yang_LearningActivePerception_ICRA23,
author = {Pengzhi Yang and Yuhan Liu and Shumon Koga and Arash Asgharivaskasi and Nikolay Atanasov},
title = {Learning Continuous Control Policies for Information-Theoretic Active Perception},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2023},
pages = {2098-2104},
url = {https://arxiv.org/abs/2209.12427},
doi = {https://doi.org/10.1109/ICRA48891.2023.10160455}
}
-
Active Mapping via Gradient Ascent Optimization of Shannon Mutual Information over Continuous SE(3) Trajectories
A. Asgharivaskasi, S. Koga and N. Atanasov
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Asgharivaskasi_DifferentiableActiveMapping_IROS22,
author = {Arash Asgharivaskasi and Shumon Koga and Nikolay Atanasov},
title = {Active Mapping via Gradient Ascent Optimization of {S}hannon Mutual Information over Continuous {SE(3)} Trajectories},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2022},
url = {https://arxiv.org/abs/2204.07623},
doi = {https://doi.org/10.1109/IROS47612.2022.9981875}
}
-
DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors
B. Wang, J. Xie and N. Atanasov
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Wang_DARL1N_IROS22,
author = {Baoqian Wang and Junfei Xie and Nikolay Atanasov},
title = {{DARL1N}: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2022},
url = {https://arxiv.org/abs/2202.09019},
doi = {https://doi.org/10.1109/IROS47612.2022.9981441}
}
-
WFA-IRL: Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata
T. Wang and N. Atanasov
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Wang_WFAIRL_IROS22,
author = {Tianyu Wang and Nikolay Atanasov},
title = {{WFA-IRL}: Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2022},
url = {https://arxiv.org/abs/2103.05895},
doi = {https://doi.org/10.1109/IROS47612.2022.9981874}
}
-
Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics
Z. Li, T. Duong and N. Atanasov
Learning for Dynamics and Control (L4DC), 2022.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{LiDuong_HamiltonianGovernor_L4DC22,
author = {Zhichao Li and Thai Duong and Nikolay Atanasov},
title = {Safe Autonomous Navigation for Systems with Learned {SE(3)} {H}amiltonian Dynamics},
booktitle = {Learning for Dynamics and Control (L4DC)},
year = {2022},
url = {https://arxiv.org/abs/2112.04639},
doi = {https://proceedings.mlr.press/v168/li22b.html}
}
-
Distributed Gaussian Process Mapping for Robot Teams with Time-Varying Communication
J. Di, E. Zobeidi, A. Koppel and N. Atanasov
American Control Conference (ACC), 2022.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Di_DistributedGP_ACC22,
author = {James Di and Ehsan Zobeidi and Alec Koppel and Nikolay Atanasov},
title = {Distributed {G}aussian Process Mapping for Robot Teams with Time-Varying Communication},
booktitle = {American Control Conference (ACC)},
year = {2022},
url = {https://arxiv.org/abs/2110.06401},
doi = {https://doi.org/10.23919/ACC53348.2022.9867415}
}
-
Active SLAM over Continuous Trajectory and Control: A Covariance-Feedback Approach
S. Koga, A. Asgharivaskasi and N. Atanasov
American Control Conference (ACC), 2022.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Koga_ActiveSLAM_ACC22,
author = {Shumon Koga and Arash Asgharivaskasi and Nikolay Atanasov},
title = {Active {SLAM} over Continuous Trajectory and Control: A Covariance-Feedback Approach},
booktitle = {American Control Conference (ACC)},
year = {2022},
url = {https://arxiv.org/abs/2110.07546},
doi = {https://doi.org/10.23919/ACC53348.2022.9867507}
}
-
ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description
M. Shan, Q. Feng, Y. Jau and N. Atanasov
IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Shan_ELLIPSDF_ICCV21,
author = {Mo Shan and Qiaojun Feng and Youyi Jau and Nikolay Atanasov},
title = {{ELLIPSDF}: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description},
booktitle = {IEEE/CVF International Conference on Computer Vision (ICCV)},
year = {2021},
url = {https://arxiv.org/abs/2108.00355},
doi = {https://doi.org/10.1109/ICCV48922.2021.00589}
}
-
CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration
T. Zhao, Q. Feng, S. Jadhav and N. Atanasov
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Zhao_CORSAIR_IROS21,
author = {Tianyu Zhao and Qiaojun Feng and Sai Jadhav and Nikolay Atanasov},
title = {{CORSAIR}: Convolutional Object Retrieval and Symmetry-AIded Registration},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2021},
url = {https://arxiv.org/abs/2103.06911},
doi = {https://doi.org/10.1109/IROS51168.2021.9636347}
}
-
Active Exploration and Mapping via Iterative Covariance Regulation over Continuous SE(3) Trajectories
S. Koga, A. Asgharivaskasi and N. Atanasov
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Koga_iCR_IROS21,
author = {Shumon Koga and Arash Asgharivaskasi and Nikolay Atanasov},
title = {Active Exploration and Mapping via Iterative Covariance Regulation over Continuous {SE(3)} Trajectories},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2021},
url = {https://arxiv.org/abs/2103.05819},
doi = {https://doi.org/10.1109/IROS51168.2021.9636486}
}
-
Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control
T. Duong and N. Atanasov
Robotics: Science and Systems (RSS), 2021.
[bib]
[pdf]
[doi]
[arXiv]
-
Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations
A. Asgharivaskasi and N. Atanasov
IEEE International Conference on Robotics and Automation (ICRA), 2021.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Asgharivaskasi_ActiveMulticlassMapping_ICRA21,
author = {Arash Asgharivaskasi and Nikolay Atanasov},
title = {Active {B}ayesian Multi-class Mapping from Range and Semantic Segmentation Observations},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2021},
url = {https://arxiv.org/abs/2101.01831},
doi = {https://doi.org/10.1109/ICRA48506.2021.9561711}
}
-
Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning
Q. Feng and N. Atanasov
IEEE International Conference on Robotics and Automation (ICRA), 2021.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Feng_TerrainMapping_ICRA21,
author = {Qiaojun Feng and Nikolay Atanasov},
title = {Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint {2D}-{3D} Learning},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2021},
url = {https://arxiv.org/abs/2101.01844},
doi = {https://doi.org/10.1109/ICRA48506.2021.9561337}
}
-
Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams
X. Cai, B. Schlotfeldt, K. Khosoussi, N. Atanasov, G. J. Pappas and J. P. How
IEEE International Conference on Robotics and Automation (ICRA), 2021.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Cai_NonmonotoneInfoGathering_ICRA21,
author = {Xiaoyi Cai and Brent Schlotfeldt and Kasra Khosoussi and Nikolay Atanasov and George J. Pappas and Jonathan P. How},
title = {Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2021},
url = {https://arxiv.org/abs/2101.11093},
doi = {https://doi.org/10.1109/ICRA48506.2021.9561354}
}
-
Coding for Distributed Multi-Agent Reinforcement Learning
B. Wang, J. Xie and N. Atanasov
IEEE International Conference on Robotics and Automation (ICRA), 2021.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Wang_CodedDistributedMARL_ICRA21,
author = {Baoqian Wang and Junfei Xie and Nikolay Atanasov},
title = {Coding for Distributed Multi-Agent Reinforcement Learning},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2021},
url = {https://arxiv.org/abs/2101.02308},
doi = {https://doi.org/10.1109/ICRA48506.2021.9561645}
}
-
Marginal Density Averaging for Distributed Node Localization from Local Edge Measurements
P. Paritosh, N. Atanasov and S. Martinez
IEEE Conference on Decision and Control (CDC), 2020.
[bib]
[pdf]
[doi]
@inproceedings{Paritosh_MarginalDensityAveraging_CDC20,
author = {Parth Paritosh and Nikolay Atanasov and Sonia Martinez},
title = {Marginal Density Averaging for Distributed Node Localization from Local Edge Measurements},
booktitle = {IEEE Conference on Decision and Control (CDC)},
year = {2020},
doi = {https://doi.org/10.1109/CDC42340.2020.9303869}
}
-
Dense Incremental Metric-Semantic Mapping via Sparse Gaussian Process Regression
E. Zobeidi, A. Koppel and N. Atanasov
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Zobeidi_GPMapping_IROS20,
author = {Ehsan Zobeidi and Alec Koppel and Nikolay Atanasov},
title = {Dense Incremental Metric-Semantic Mapping via Sparse {G}aussian Process Regression},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2020},
url = {https://arxiv.org/abs/2103.16170},
doi = {https://doi.org/10.1109/IROS45743.2020.9341658}
}
-
OrcVIO: Object residual constrained Visual-Inertial Odometry
M. Shan, Q. Feng and N. Atanasov
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Shan_OrcVIO_IROS20,
author = {Mo Shan and Qiaojun Feng and Nikolay Atanasov},
title = {{OrcVIO}: Object residual constrained Visual-Inertial Odometry},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2020},
url = {https://arxiv.org/abs/2007.15107},
doi = {https://doi.org/10.1109/IROS45743.2020.9341660}
}
-
Fully Convolutional Geometric Features for Category-level Object Alignment
Q. Feng and N. Atanasov
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Feng_CategoryAlignment_IROS20,
author = {Qiaojun Feng and Nikolay Atanasov},
title = {Fully Convolutional Geometric Features for Category-level Object Alignment},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2020},
url = {https://arxiv.org/abs/2103.04494},
doi = {https://doi.org/10.1109/IROS45743.2020.9341550}
}
-
Learning Navigation Costs from Demonstrations with Semantic Observations
T. Wang, V. Dhiman and N. Atanasov
Learning for Dynamics and Control (L4DC), 2020.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Wang_LearningToNavigate_L4DC20,
author = {Tianyu Wang and Vikas Dhiman and Nikolay Atanasov},
title = {Learning Navigation Costs from Demonstrations with Semantic Observations},
booktitle = {Learning for Dynamics and Control (L4DC)},
year = {2020},
url = {https://arxiv.org/abs/2006.05043},
doi = {http://proceedings.mlr.press/v120/wang20a.html}
}
-
Probabilistic Safety Constraints for Learned High Relative-Degree System Dynamics
M. J. Khojasteh, V. Dhiman, M. Franceschetti and N. Atanasov
Learning for Dynamics and Control (L4DC), 2020.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Khojasteh_SafeDynamicsLearning_L4DC20,
author = {Mohammad Javad Khojasteh and Vikas Dhiman and Massimo Franceschetti and Nikolay Atanasov},
title = {Probabilistic Safety Constraints for Learned High Relative-Degree System Dynamics},
booktitle = {Learning for Dynamics and Control (L4DC)},
year = {2020},
url = {https://arxiv.org/abs/1912.10116},
doi = {http://proceedings.mlr.press/v120/khojasteh20a.html}
}
-
Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping
T. Duong, N. Das, M. Yip and N. Atanasov
IEEE International Conference on Robotics and Automation (ICRA), 2020.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Duong_KernelMapping_ICRA20,
author = {Thai Duong and Nikhil Das and Michael Yip and Nikolay Atanasov},
title = {Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2020},
url = {https://arxiv.org/abs/2002.01921},
doi = {https://doi.org/10.1109/ICRA40945.2020.9197412}
}
-
Fast and Safe Path-Following Control using a State-Dependent Directional Metric
Z. Li, Ö. Arslan and N. Atanasov
IEEE International Conference on Robotics and Automation (ICRA), 2020.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Li_SafeControl_ICRA20,
author = {Zhichao Li and Ömür Arslan and N. Atanasov},
title = {Fast and Safe Path-Following Control using a State-Dependent Directional Metric},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2020},
url = {https://arxiv.org/abs/2002.02038},
doi = {https://doi.org/10.1109/ICRA40945.2020.9197377}
}
-
Learning Navigation Costs from Demonstration in Partially Observable Environments
T. Wang, V. Dhiman and N. Atanasov
IEEE International Conference on Robotics and Automation (ICRA), 2020.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Wang_LearningToNavigate_ICRA20,
author = {Tianyu Wang and Vikas Dhiman and Nikolay Atanasov},
title = {Learning Navigation Costs from Demonstration in Partially Observable Environments},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2020},
url = {https://arxiv.org/abs/2002.11637},
doi = {https://doi.org/10.1109/ICRA40945.2020.9197199}
}
-
Information Theoretic Active Exploration in Signed Distance Fields
K. Saulnier, N. Atanasov, G. J. Pappas and V. Kumar
IEEE International Conference on Robotics and Automation (ICRA), 2020.
[bib]
[pdf]
[doi]
@inproceedings{Saulnier_ActiveMapping_ICRA20,
author = {Kelsey Saulnier and Nikolay Atanasov and George J. Pappas and Vijay Kumar},
title = {Information Theoretic Active Exploration in Signed Distance Fields},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2020},
doi = {https://doi.org/10.1109/ICRA40945.2020.9196882}
}
-
Temporal Logic Guided Locomotion Planning and Control in Cluttered Environments
S. Kulgod, W. Chen, J. Huang, Y. Zhao and N. Atanasov
American Control Conference (ACC), 2020.
[bib]
[pdf]
[doi]
@inproceedings{Kulgod_LTLPlanning_ACC20,
author = {Sutej Kulgod and Wentao Chen and Junda Huang and Ye Zhao and Nikolay Atanasov},
title = {Temporal Logic Guided Locomotion Planning and Control in Cluttered Environments},
booktitle = {American Control Conference (ACC)},
year = {2020},
doi = {https://doi.org/10.23919/ACC45564.2020.9147621}
}
-
Hypothesis Assignment and Partial Likelihood Averaging for Cooperative Estimation
P. Paritosh, N. Atanasov and S. Martinez
IEEE Conference on Decision and Control (CDC), 2019.
[bib]
[pdf]
[doi]
@inproceedings{Paritosh_DistributedEstimation_CDC19,
author = {Parth Paritosh and Nikolay Atanasov and Sonia Martinez},
title = {Hypothesis Assignment and Partial Likelihood Averaging for Cooperative Estimation},
booktitle = {IEEE Conference on Decision and Control (CDC)},
year = {2019},
doi = {https://doi.org/10.1109/CDC40024.2019.9029768}
}
-
Localization and Mapping using Instance-specific Mesh Models
Q. Feng, Y. Meng, M. Shan and N. Atanasov
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
[bib]
[pdf]
[doi]
[arXiv]
-
Information Filter Occupancy Mapping using Decomposable Radial Kernels
S. Guo and N. Atanasov
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
[bib]
[pdf]
[doi]
@inproceedings{Guo_IFOM_IROS19,
author = {Siwei Guo and Nikolay Atanasov},
title = {Information Filter Occupancy Mapping using Decomposable Radial Kernels},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2019},
doi = {https://doi.org/10.1109/IROS40897.2019.8968609}
}
-
Maximum Information Bounds for Planning Active Sensing Trajectories
B. Schlotfeldt, N. Atanasov and G. J. Pappas
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
[bib]
[pdf]
[doi]
@inproceedings{Schlotfeldt_InfoBounds_IROS19,
author = {Brent Schlotfeldt and Nikolay Atanasov and George J. Pappas},
title = {Maximum Information Bounds for Planning Active Sensing Trajectories},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2019},
doi = {https://doi.org/10.1109/IROS40897.2019.8968147}
}
-
Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering
Y. Kantaros, B. Schlotfeldt, N. Atanasov and G. J. Pappas
Robotics: Science and Systems (RSS), 2019.
[bib]
[pdf]
[doi]
-
N-Dimensional Distributed Network Localization With Noisy Range Measurements and Arbitrary Anchor Placement
P. Tecchio, N. Atanasov, S. Shahrampour and G. J. Pappas
American Control Conference (ACC), 2019.
[bib]
[pdf]
[doi]
@inproceedings{Tecchio_RangeLocalization_ACC19,
author = {Pedro Tecchio and Nikolay Atanasov and Shahin Shahrampour and George J. Pappas},
title = {N-Dimensional Distributed Network Localization With Noisy Range Measurements and Arbitrary Anchor Placement},
booktitle = {American Control Conference (ACC)},
year = {2019},
doi = {https://doi.org/10.23919/ACC.2019.8814820}
}
-
Robust Velocity Control for Minimum Steady State Uncertainty in Persistent Monitoring Applications
M. Ostertag, N. Atanasov and T. Rosing
American Control Conference (ACC), 2019.
[bib]
[pdf]
[doi]
@inproceedings{Ostertag_MinimumUncertaintyControl_ACC19,
author = {Michael Ostertag and Nikolay Atanasov and Tajana Rosing},
title = {Robust Velocity Control for Minimum Steady State Uncertainty in Persistent Monitoring Applications},
booktitle = {American Control Conference (ACC)},
year = {2019},
doi = {https://doi.org/10.23919/ACC.2019.8814376}
}
-
A Unifying View of Geometry, Semantics, and Data Association in SLAM
N. Atanasov, S. Bowman, K. Daniilidis and G. J. Pappas
International Joint Conference on Artificial Intelligence (IJCAI), 2018.
[bib]
[pdf]
[doi]
@inproceedings{Atanasov_SemanticSLAM_IJCAI18,
author = {Nikolay Atanasov and Sean Bowman and Kostas Daniilidis and George J. Pappas},
title = {A Unifying View of Geometry, Semantics, and Data Association in {SLAM}},
booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
year = {2018},
doi = {https://doi.org/10.24963/ijcai.2018/722}
}
-
Memory Augmented Control Networks
A. Khan, C. Zhang, N. Atanasov, K. Karydis, V. Kumar and D. D. Lee
International Conference on Learning Representations (ICLR), 2018.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Khan_MACN_ICLR18,
author = {Arbaaz Khan and Clark Zhang and Nikolay Atanasov and Konstantinos Karydis and Vijay Kumar and Daniel D. Lee},
title = {Memory Augmented Control Networks},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2018},
url = {https://arxiv.org/abs/1709.05706},
doi = {https://openreview.net/forum?id=HyfHgI6aW}
}
-
Approximating Explicit Model Predictive Control using Constrained Neural Networks
S. Chen, K. Saulnier, N. Atanasov, D. D. Lee, V. Kumar, G. J. Pappas and M. Morari
American Control Conference (ACC), 2018.
[bib]
[pdf]
[doi]
@inproceedings{Chen_DeepMPC_ACC18,
author = {Steven Chen and Kelsey Saulnier and Nikolay Atanasov and Daniel D. Lee and Vijay Kumar and George J. Pappas and Manfred Morari},
title = {Approximating Explicit Model Predictive Control using Constrained Neural Networks},
booktitle = {American Control Conference (ACC)},
year = {2018},
doi = {https://doi.org/10.23919/ACC.2018.8431275}
}
-
Dense 3-D Mapping with Spatial Correlation via Gaussian Filtering
K. Sun, K. Saulnier, N. Atanasov, G. J. Pappas and V. Kumar
American Control Conference (ACC), 2018.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Sun_OccupancyGridFiltering_ACC18,
author = {Ke Sun and Kelsey Saulnier and Nikolay Atanasov and George J. Pappas and Vijay Kumar},
title = {Dense {3-D} Mapping with Spatial Correlation via {G}aussian Filtering},
booktitle = {American Control Conference (ACC)},
year = {2018},
url = {https://arxiv.org/abs/1801.07380},
doi = {https://doi.org/10.23919/ACC.2018.8431777}
}
-
Search-based Motion Planning for Quadrotors using Linear Quadratic Minimum Time Control
S. Liu, N. Atanasov, K. Mohta and V. Kumar
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Liu_DynamicTrajectoryPlanning_IROS17,
author = {Sikang Liu and Nikolay Atanasov and Kartik Mohta and Vijay Kumar},
title = {Search-based Motion Planning for Quadrotors using Linear Quadratic Minimum Time Control},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2017},
url = {https://arxiv.org/abs/1709.05401},
doi = {https://doi.org/10.1109/IROS.2017.8206119}
}
-
Active End-Effector Pose Selection for Tactile Object Recognition through Monte Carlo Tree Search
M. Zhang, N. Atanasov and K. Daniilidis
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017.
[bib]
[pdf]
[doi]
@inproceedings{Zhang_ActiveTouch_IROS17,
author = {Mabel Zhang and Nikolay Atanasov and Kostas Daniilidis},
title = {Active End-Effector Pose Selection for Tactile Object Recognition through {M}onte {C}arlo Tree Search},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2017},
doi = {https://doi.org/10.1109/IROS.2017.8206161}
}
-
Event-based Visual Inertial Odometry
A. Zhu, N. Atanasov and K. Daniilidis
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
[bib]
[pdf]
[doi]
@inproceedings{Zhu_EVIO_CVPR17,
author = {Alex Zhu and Nikolay Atanasov and Kostas Daniilidis},
title = {Event-based Visual Inertial Odometry},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2017},
doi = {https://doi.org/10.1109/CVPR.2017.616}
}
-
Event-based Feature Tracking with Probabilistic Data Association
A. Zhu, N. Atanasov and K. Daniilidis
IEEE International Conference on Robotics and Automation (ICRA), 2017.
[bib]
[pdf]
[doi]
@inproceedings{Zhu_EVFT_ICRA17,
author = {Alex Zhu and Nikolay Atanasov and Kostas Daniilidis},
title = {Event-based Feature Tracking with Probabilistic Data Association},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2017},
doi = {https://doi.org/10.1109/ICRA.2017.7989517}
}
-
Probabilistic Data Association for Semantic SLAM
S. Bowman, N. Atanasov, K. Daniilidis and G. Pappas
IEEE International Conference on Robotics and Automation (ICRA), 2017.
[bib]
[pdf]
[doi]
@inproceedings{Bowman_SemanticSLAM_ICRA17,
author = {Sean Bowman and Nikolay Atanasov and Kostas Daniilidis and George Pappas},
title = {Probabilistic Data Association for Semantic {SLAM}},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2017},
doi = {https://doi.org/10.1109/ICRA.2017.7989203}
}
-
Neural Network Memory Architectures for Autonomous Robot Navigation
S. Chen, N. Atanasov, A. Khan, K. Karydis, D. D. Lee and V. Kumar
Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 2017.
[bib]
[pdf]
[doi]
[arXiv]
@inproceedings{Chen_NeuralNavigation_RLDM17,
author = {Steven Chen and Nikolay Atanasov and Arbaaz Khan and Konstantinos Karydis and Daniel D. Lee and Vijay Kumar},
title = {Neural Network Memory Architectures for Autonomous Robot Navigation},
booktitle = {Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM)},
year = {2017},
url = {https://arxiv.org/abs/1705.08049},
doi = {https://www.princeton.edu/~ndaw/RLDM17ExtendedAbstracts.pdf}
}
-
Scheduling Nonlinear Sensors for Stochastic Process Estimation
V. Tzoumas, N. Atanasov, A. Jadbabaie and G. J. Pappas
American Control Conference (ACC), 2017.
[bib]
[pdf]
[doi]
@inproceedings{Tzoumas_SensorSchedululing_ACC17,
author = {Vasileios Tzoumas and Nikolay Atanasov and Ali Jadbabaie and George J. Pappas},
title = {Scheduling Nonlinear Sensors for Stochastic Process Estimation},
booktitle = {American Control Conference (ACC)},
year = {2017},
doi = {https://doi.org/10.23919/ACC.2017.7963015}
}
-
Calibration-Free Network Localization using Non-Line-of-Sight Ultra-Wideband Measurements
C. Di Franco, A. Prorok, N. Atanasov, B. Kempke, P. Dutta, V. Kumar and G. J. Pappas
ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2017.
[bib]
[pdf]
[doi]
@inproceedings{DiFranco_UWBNetworkLocalization_IPSN17,
author = {Carmelo Di Franco and Amanda Prorok and Nikolay Atanasov and Benjamin Kempke and Prabal Dutta and Vijay Kumar and George J. Pappas},
title = {Calibration-Free Network Localization using Non-Line-of-Sight Ultra-Wideband Measurements},
booktitle = {ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)},
year = {2017},
doi = {https://doi.org/10.1145/3055031.3055091}
}
-
Optimal Temporal Logic Planning in Probabilistic Semantic Maps
J. Fu, N. Atanasov, U. Topcu and G. Pappas
IEEE International Conference on Robotics and Automation (ICRA), 2016.
[bib]
[pdf]
[doi]
@inproceedings{Fu_SemanticLTLPlanning_ICRA16,
author = {Jie Fu and Nikolay Atanasov and Ufuk Topcu and George Pappas},
title = {Optimal Temporal Logic Planning in Probabilistic Semantic Maps},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2016},
doi = {https://doi.org/10.1109/ICRA.2016.7487554}
}
-
Estimation of Blood Oxygen Content Using Context-Aware Filtering
R. Ivanov, N. Atanasov, J. Weimer, M. Pajic, A. Simpao, M. Rehman, G. Pappas and I. Lee
ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), 2016.
[bib]
[pdf]
[doi]
@inproceedings{Ivanov_RobustEstimation_ICCPS16,
author = {Radoslav Ivanov and Nikolay Atanasov and James Weimer and Miroslav Pajic and Allan Simpao and Mohamed Rehman and George Pappas and Insup Lee},
title = {Estimation of Blood Oxygen Content Using Context-Aware Filtering},
booktitle = {ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)},
year = {2016},
doi = {https://doi.org/10.1109/ICCPS.2016.7479102}
}
-
Robust Estimation Using Context-Aware Filtering
R. Ivanov, N. Atanasov, M. Pajic, G. J. Pappas and I. Lee
Allerton Conference on Communication, Control, and Computing, 2015.
[bib]
[pdf]
[doi]
@inproceedings{Ivanov_RobustEstimation_Allerton15,
author = {Radoslav Ivanov and Nikolay Atanasov and Miroslav Pajic and George J. Pappas and Insup Lee},
title = {Robust Estimation Using Context-Aware Filtering},
booktitle = {Allerton Conference on Communication, Control, and Computing},
year = {2015},
doi = {https://doi.org/10.1109/ALLERTON.2015.7447058}
}
-
Decentralized Active Information Acquisition: Theory and Application to Multi-Robot SLAM
N. Atanasov, J. Le Ny, K. Daniilidis and G. J. Pappas
IEEE International Conference on Robotics and Automation (ICRA), pp. 4775-4782, 2015.
[bib]
[pdf]
[doi]
-
Joint Estimation and Localization in Sensor Networks
N. Atanasov, R. Tron, V. M. Preciado and G. J. Pappas
IEEE Conference on Decision and Control (CDC), pp. 6875-6882, 2014.
[bib]
[pdf]
[doi]
@inproceedings{Atanasov_JointEstimationLocalization_CDC14,
author = {Nikolay Atanasov and Roberto Tron and Victor M. Preciado and George J. Pappas},
title = {Joint Estimation and Localization in Sensor Networks},
booktitle = {IEEE Conference on Decision and Control (CDC)},
year = {2014},
pages = {6875-6882},
doi = {https://doi.org/10.1109/CDC.2014.7040469}
}
-
Active Deformable Part Models Inference
M. Zhu, N. Atanasov, G. J. Pappas and K. Daniilidis
European Conference on Computer Vision (ECCV), Vol. 8695, pp. 281-296, 2014.
[bib]
[pdf]
[doi]
@inproceedings{Zhu_ADPM_ECCV14,
author = {Menglong Zhu and Nikolay Atanasov and George J. Pappas and Kostas Daniilidis},
title = {Active Deformable Part Models Inference},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2014},
volume = {8695},
pages = {281-296},
doi = {https://doi.org/10.1007/978-3-319-10584-0_19}
}
-
Semantic Localization via the Matrix Permanent
N. Atanasov, M. Zhu, K. Daniilidis and G. J. Pappas
Robotics: Science and Systems (RSS), 2014.
[bib]
[pdf]
[doi]
-
Information Acquisition with Sensing Robots: Algorithms and Error Bounds
N. Atanasov, J. Le Ny, K. Daniilidis and G. J. Pappas
IEEE International Conference on Robotics and Automation (ICRA), pp. 6447-6454, 2014.
[bib]
[pdf]
[doi]
-
Hypothesis Testing Framework for Active Object Detection
N. Atanasov*, B. Sankaran*, J. Le Ny, T. Koletschka, G. J. Pappas and K. Daniilidis
IEEE International Conference on Robotics and Automation (ICRA), pp. 4216-4222, 2013.
[bib]
[pdf]
[doi]
@inproceedings{Atanasov_Sankaran_ActiveObjectRecognition_ICRA13,
author = {Nikolay Atanasov* and Bharath Sankaran* and Jerome Le Ny and Thomas Koletschka and George J. Pappas and Kostas Daniilidis},
title = {Hypothesis Testing Framework for Active Object Detection},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2013},
pages = {4216-4222},
doi = {https://doi.org/10.1109/ICRA.2013.6631173}
}
-
Stochastic Source Seeking in Complex Environments
N. Atanasov, J. Le Ny, N. Michael and G. J. Pappas
IEEE International Conference on Robotics and Automation (ICRA), pp. 3013-3018, 2012.
[bib]
[pdf]
[doi]
@inproceedings{Atanasov_StochasticSourceSeeking_ICRA12,
author = {Nikolay Atanasov and Jerome Le Ny and Nathan Michael and George J. Pappas},
title = {Stochastic Source Seeking in Complex Environments},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2012},
pages = {3013-3018},
doi = {https://doi.org/10.1109/ICRA.2012.6225289}
}
-
A Fast Heart Sounds Detection and Heart Murmur Classification Algorithm
T. Ning, J. Ning, N. Atanasov and K.-S. Hsieh
IEEE International Conference on Signal Processing (ICSP), Vol. 3, 2012.
[bib]
[pdf]
[doi]
@inproceedings{Ning_HeartMurmur_ICSP12,
author = {Taikang Ning and James Ning and Nikolay Atanasov and Kai-Sheng Hsieh},
title = {A Fast Heart Sounds Detection and Heart Murmur Classification Algorithm},
booktitle = {IEEE International Conference on Signal Processing (ICSP)},
year = {2012},
volume = {3},
doi = {https://doi.org/10.1109/ICoSP.2012.6491892}
}
-
Quantitative Analysis of Heart Sounds and Systolic Heart Murmurs Using Wavelet Transform and AR Modeling
J. Ning, N. Atanasov and T. Ning
IEEE International Conference on Engineering in Medicine and Biology (EMBC), 2009.
[bib]
[pdf]
[doi]
@inproceedings{Ning_HeartMurmur_EMBC09,
author = {James Ning and Nikolay Atanasov and Taikang Ning},
title = {Quantitative Analysis of Heart Sounds and Systolic Heart Murmurs Using Wavelet Transform and {AR} Modeling},
booktitle = {IEEE International Conference on Engineering in Medicine and Biology (EMBC)},
year = {2009},
doi = {https://doi.org/10.1109/IEMBS.2009.5332562}
}
-
Isolation of Systolic Heart Murmurs Using Wavelet Transform and Energy Index
N. Atanasov and T. Ning
IEEE Congress on Image and Signal Processing (CISP), 2008.
[bib]
[pdf]
[doi]
@inproceedings{Atanasov_HeartMurmur_CISP08,
author = {Nikolay Atanasov and Taikang Ning},
title = {Isolation of Systolic Heart Murmurs Using Wavelet Transform and Energy Index},
booktitle = {IEEE Congress on Image and Signal Processing (CISP)},
year = {2008},
doi = {https://doi.org/10.1109/CISP.2008.758}
}
-
Quantitative Delineation of Heart Murmurs Using Features Derived from Autoregressive Modeling
N. Atanasov and T. Ning
IEEE Northeast Bioengineering Conference (NEBC), 2007.
[bib]
[pdf]
[doi]
@inproceedings{Atanasov_HeartMurmur_NEBC07,
author = {Nikolay Atanasov and Taikang Ning},
title = {Quantitative Delineation of Heart Murmurs Using Features Derived from Autoregressive Modeling},
booktitle = {IEEE Northeast Bioengineering Conference (NEBC)},
year = {2007},
doi = {https://doi.org/10.1109/NEBC.2007.4413331}
}
-
Restoration of Multi-channel Spectral Estimation Affected by Sampling Jitters
T. Ning, S. Bhandari and N. Atanasov
IEEE Northeast Bioengineering Conference (NEBC), 2007.
[bib]
[pdf]
[doi]
@inproceedings{Ning_ChannelRestoration_NEBC07,
author = {Taikang Ning and Sagar Bhandari and Nikolay Atanasov},
title = {Restoration of Multi-channel Spectral Estimation Affected by Sampling Jitters},
booktitle = {IEEE Northeast Bioengineering Conference (NEBC)},
year = {2007},
doi = {https://doi.org/10.1109/NEBC.2007.4413312}
}