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ORCIDNikolay Atanasov 0001
Nikolay A. Atanasov
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- affiliation: University of California San Diego, Electrical and Computer Engineering Department, La Jolla, CA, USA
Other persons with the same name
- Nikolay Atanasov 0002
![[0000-0002-7707-0133]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7707-0133")
(aka: Nikolay Todorov Atanasov) — South-West University "Neofit Rilski", Blagoevgrad, Bulgaria
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2020 – today
- 2025
[j28]Chuong Nguyen, Abdullah Altawaitan, Thai Duong, Nikolay Atanasov, Quan Nguyen:
Variable-Frequency Model Learning and Predictive Control for Jumping Maneuvers on Legged Robots. IEEE Robotics Autom. Lett. 10(2): 1321-1328 (2025)- 2024
- [j27]Pol Mestres, Kehan Long, Nikolay Atanasov, Jorge Cortés:
Feasibility Analysis and Regularity Characterization of Distributionally Robust Safe Stabilizing Controllers. IEEE Control. Syst. Lett. 8: 91-96 (2024) - [j26]Hanwen Cao, Sriram Shreedharan, Nikolay Atanasov:
Multi-Robot Object SLAM Using Distributed Variational Inference. IEEE Robotics Autom. Lett. 9(10): 8722-8729 (2024) - [j25]Qiaojun Feng, Nikolay Atanasov:
TerrainMesh: Metric-Semantic Terrain Reconstruction From Aerial Images Using Joint 2-D-3-D Learning. IEEE Trans. Robotics 40: 1457-1475 (2024) - [j24]Thai Duong, Abdullah Altawaitan, Jason Stanley, Nikolay Atanasov:
Port-Hamiltonian Neural ODE Networks on Lie Groups for Robot Dynamics Learning and Control. IEEE Trans. Robotics 40: 3695-3715 (2024) - [c66]Kehan Long, Khoa Tran, Melvin Leok, Nikolay Atanasov:
Safe Stabilizing Control for Polygonal Robots in Dynamic Elliptical Environments. ACC 2024: 312-317 - [c65]Zhirui Dai, Arash Asgharivaskasi, Thai Duong, Shusen Lin, Maria-Elizabeth Tzes, George J. Pappas, Nikolay Atanasov:
Optimal Scene Graph Planning with Large Language Model Guidance. ICRA 2024: 14062-14069 - [c64]Abdullah Altawaitan, Jason Stanley, Sambaran Ghosal, Thai Duong, Nikolay Atanasov:
Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control. ICRA 2024: 16937-16944 - [c63]Ehsan Zobeidi, Nikolay Atanasov:
A Deep Signed Directional Distance Function for Shape Representation. IROS 2024: 2689-2695 - [i93]Eduardo Sebastián, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagüés:
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems. CoRR abs/2401.00212 (2024) - [i92]Thai Duong, Abdullah Altawaitan, Jason Stanley, Nikolay Atanasov:
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control. CoRR abs/2401.09520 (2024) - [i91]Arash Asgharivaskasi, Nikolay Atanasov:
Distributed Optimization with Consensus Constraint for Multi-Robot Semantic Octree Mapping. CoRR abs/2402.08867 (2024) - [i90]Ri-Zhao Qiu, Yafei Hu, Ge Yang, Yuchen Song, Yang Fu, Jianglong Ye, Jiteng Mu, Ruihan Yang, Nikolay Atanasov, Sebastian A. Scherer, Xiaolong Wang:
Learning Generalizable Feature Fields for Mobile Manipulation. CoRR abs/2403.07563 (2024) - [i89]Kehan Long, Jorge Cortés, Nikolay Atanasov:
Distributionally Robust Policy and Lyapunov-Certificate Learning. CoRR abs/2404.03017 (2024) - [i88]Arash Asgharivaskasi, Fritz Girke, Nikolay Atanasov:
Riemannian Optimization for Active Mapping with Robot Teams. CoRR abs/2404.18321 (2024) - [i87]Hanwen Cao, Sriram Shreedharan, Nikolay Atanasov:
Multi-Robot Object SLAM using Distributed Variational Inference. CoRR abs/2404.18331 (2024) - [i86]Kehan Long, Yinzhuang Yi, Zhirui Dai, Sylvia Herbert, Jorge Cortés, Nikolay Atanasov:
Sensor-Based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments. CoRR abs/2405.18251 (2024) - [i85]Tianyu Wang, Dwait Bhatt, Xiaolong Wang, Nikolay Atanasov:
Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment. CoRR abs/2406.01968 (2024) - [i84]Xu Liu, Jiuzhou Lei, Ankit Prabhu, Yuezhan Tao, Igor Spasojevic, Pratik Chaudhari, Nikolay Atanasov, Vijay Kumar:
SlideSLAM: Sparse, Lightweight, Decentralized Metric-Semantic SLAM for Multi-Robot Navigation. CoRR abs/2406.17249 (2024) - [i83]Chuong Nguyen, Abdullah Altawaitan, Thai Duong, Nikolay Atanasov, Quan Nguyen:
Adaptive-Frequency Model Learning and Predictive Control for Dynamic Maneuvers on Legged Robots. CoRR abs/2407.14749 (2024) - [i82]Pol Mestres, Kehan Long, Melvin Leok, Nikolay Atanasov, Jorge Cortés:
Stabilization of Nonlinear Systems through Control Barrier Functions. CoRR abs/2408.08398 (2024) - [i81]Ki Myung Brian Lee, Zhirui Dai, Cedric Le Gentil, Lan Wu, Nikolay Atanasov, Teresa A. Vidal-Calleja:
Safe Bubble Cover for Motion Planning on Distance Fields. CoRR abs/2408.13377 (2024) - [i80]Kehan Long, Hardik Parwana, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, Nikolay Atanasov:
Neural Configuration Distance Function for Continuum Robot Control. CoRR abs/2409.13865 (2024) - [i79]Sharath Matada, Luke Bhan, Yuanyuan Shi, Nikolay Atanasov:
Generalizable Motion Planning via Operator Learning. CoRR abs/2410.17547 (2024) - [i78]Minnan Zhou, Mustafa Shaikh, Vatsalya Chaubey, Patrick Haggerty, Shumon Koga, Dimitra Panagou, Nikolay Atanasov:
Control Strategies for Pursuit-Evasion Under Occlusion Using Visibility and Safety Barrier Functions. CoRR abs/2411.01321 (2024) - [i77]Hanwen Cao, George J. Pappas, Nikolay Atanasov:
PKF: Probabilistic Data Association Kalman Filter for Multi-Object Tracking. CoRR abs/2411.06378 (2024) - [i76]Runfa Blark Li, Keito Suzuki, Bang Du, Ki Myung Brian Lee, Nikolay Atanasov, Truong Nguyen:
SplatSDF: Boosting Neural Implicit SDF via Gaussian Splatting Fusion. CoRR abs/2411.15468 (2024) - [i75]Mohammed Alyaseen, Nikolay Atanasov, Jorge Cortés:
Safety-Critical Control of Discontinuous Systems with Nonsmooth Safe Sets. CoRR abs/2412.15437 (2024) - 2023
- [j23]Tianyu Wang, Vikas Dhiman, Nikolay Atanasov:
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning. Auton. Robots 47(6): 809-830 (2023) - [j22]Zhichao Li, Nikolay Atanasov:
Governor-parameterized barrier function for safe output tracking with locally sensed constraints. Autom. 152: 110996 (2023) - [j21]Yinzhuang Yi, Shumon Koga, Bogdan Gavrea, Nikolay Atanasov:
Control Synthesis for Stability and Safety by Differential Complementarity Problem. IEEE Control. Syst. Lett. 7: 895-900 (2023) - [j20]Vikas Dhiman, Mohammad Javad Khojasteh, Massimo Franceschetti, Nikolay Atanasov:
Control Barriers in Bayesian Learning of System Dynamics. IEEE Trans. Autom. Control. 68(1): 214-229 (2023) - [j19]Julio A. Placed, Jared Strader, Henry Carrillo, Nikolay Atanasov, Vadim Indelman, Luca Carlone, José A. Castellanos:
A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers. IEEE Trans. Robotics 39(3): 1686-1705 (2023) - [j18]Arash Asgharivaskasi, Nikolay Atanasov:
Semantic OcTree Mapping and Shannon Mutual Information Computation for Robot Exploration. IEEE Trans. Robotics 39(3): 1910-1928 (2023) - [j17]Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How:
Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams. IEEE Trans. Robotics 39(4): 2585-2602 (2023) - [c62]Kehan Long, Yinzhuang Yi, Jorge Cortés, Nikolay Atanasov:
Safe and Stable Control Synthesis for Uncertain System Models via Distributionally Robust Optimization. ACC 2023: 4651-4658 - [c61]Binghao Huang, Yuanpei Chen, Tianyu Wang, Yuzhe Qin, Yaodong Yang, Nikolay Atanasov, Xiaolong Wang:
Dynamic Handover: Throw and Catch with Bimanual Hands. CoRL 2023: 1887-1902 - [c60]Pengzhi Yang, Yuhan Liu, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov:
Learning Continuous Control Policies for Information-Theoretic Active Perception. ICRA 2023: 2098-2104 - [c59]Daniel T. Larsson, Arash Asgharivaskasi, Jaein Lim, Nikolay Atanasov, Panagiotis Tsiotras:
Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning. ICRA 2023: 6937-6943 - [c58]Eduardo Sebastián, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagüés:
LEMURS: Learning Distributed Multi-Robot Interactions. ICRA 2023: 7713-7719 - [c57]Pengzhi Yang, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov:
Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories. L4DC 2023: 64-75 - [c56]Valentin Duruisseaux, Thai Duong, Melvin Leok, Nikolay Atanasov:
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems. L4DC 2023: 731-744 - [c55]Kehan Long, Yinzhuang Yi, Jorge Cortés, Nikolay Atanasov:
Distributionally Robust Lyapunov Function Search Under Uncertainty. L4DC 2023: 864-877 - [c54]Eduardo Sebastián, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagüés:
Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks. MRS 2023: 142-148 - [i74]Mohammed Alyaseen, Nikolay Atanasov, Jorge Cortés:
Continuity and Boundedness of Minimum-Norm CBF-Safe Controllers. CoRR abs/2306.07398 (2023) - [i73]Eduardo Sebastián, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagüés:
Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks. CoRR abs/2307.04374 (2023) - [i72]Parth Paritosh, Nikolay Atanasov, Sonia Martínez:
Distributed Variational Inference for Online Supervised Learning. CoRR abs/2309.02606 (2023) - [i71]Binghao Huang, Yuanpei Chen, Tianyu Wang, Yuzhe Qin, Yaodong Yang, Nikolay Atanasov, Xiaolong Wang:
Dynamic Handover: Throw and Catch with Bimanual Hands. CoRR abs/2309.05655 (2023) - [i70]Abdullah Altawaitan, Jason Stanley, Sambaran Ghosal, Thai Duong, Nikolay Atanasov:
Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control. CoRR abs/2309.09163 (2023) - [i69]Zhirui Dai, Arash Asgharivaskasi, Thai Duong, Shusen Lin, Maria-Elizabeth Tzes, George J. Pappas, Nikolay Atanasov:
Optimal Scene Graph Planning with Large Language Model Guidance. CoRR abs/2309.09182 (2023) - [i68]Kehan Long, Khoa Tran, Melvin Leok, Nikolay Atanasov:
Safe Stabilizing Control for Polygonal Robots in Dynamic Elliptical Environments. CoRR abs/2310.00273 (2023) - [i67]Zhichao Li, Yinzhuang Yi, Zhuolin Niu, Nikolay Atanasov:
EAST: Environment Aware Safe Tracking using Planning and Control Co-Design. CoRR abs/2310.01363 (2023) - [i66]Pol Mestres, Kehan Long, Nikolay Atanasov, Jorge Cortés:
Feasibility Analysis and Regularity Characterization of Distributionally Robust Safe Stabilizing Controllers. CoRR abs/2311.05813 (2023) - [i65]Parth Paritosh, Nikolay Atanasov, Sonia Martínez:
Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities. CoRR abs/2312.01227 (2023) - 2022
- [j16]Steven W. Chen, Tianyu Wang, Nikolay Atanasov, Vijay Kumar, Manfred Morari:
Large scale model predictive control with neural networks and primal active sets. Autom. 135: 109947 (2022) - [j15]Parth Paritosh, Nikolay Atanasov, Sonia Martínez:
Distributed Bayesian Estimation of Continuous Variables Over Time-Varying Directed Networks. IEEE Control. Syst. Lett. 6: 2545-2550 (2022) - [j14]Thai Duong, Nikolay Atanasov:
Adaptive Control of SE(3) Hamiltonian Dynamics With Learned Disturbance Features. IEEE Control. Syst. Lett. 6: 2773-2778 (2022) - [j13]Michael H. Ostertag, Nikolay Atanasov, Tajana Rosing:
Trajectory Planning and Optimization for Minimizing Uncertainty in Persistent Monitoring Applications. J. Intell. Robotic Syst. 106(1): 2 (2022) - [j12]Kehan Long, Vikas Dhiman, Melvin Leok, Jorge Cortés, Nikolay Atanasov:
Safe Control Synthesis With Uncertain Dynamics and Constraints. IEEE Robotics Autom. Lett. 7(3): 7295-7302 (2022) - [j11]Ehsan Zobeidi, Alec Koppel, Nikolay Atanasov:
Dense Incremental Metric-Semantic Mapping for Multiagent Systems via Sparse Gaussian Process Regression. IEEE Trans. Robotics 38(5): 3133-3153 (2022) - [j10]Thai Duong, Michael C. Yip, Nikolay Atanasov:
Autonomous Navigation in Unknown Environments With Sparse Bayesian Kernel-Based Occupancy Mapping. IEEE Trans. Robotics 38(6): 3694-3712 (2022) - [c53]James Di, Ehsan Zobeidi, Alec Koppel, Nikolay Atanasov:
Distributed Gaussian Process Mapping for Robot Teams with Time-varying Communication. ACC 2022: 4458-4464 - [c52]Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov:
Active SLAM over Continuous Trajectory and Control: A Covariance-Feedback Approach. ACC 2022: 5062-5068 - [c51]Tianyu Wang, Nikolay Atanasov:
WFA-IRL: Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata. IROS 2022: 7429-7435 - [c50]Baoqian Wang, Junfei Xie, Nikolay Atanasov:
DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors. IROS 2022: 9003-9010 - [c49]Arash Asgharivaskasi, Shumon Koga, Nikolay Atanasov:
Active Mapping via Gradient Ascent Optimization of Shannon Mutual Information over Continuous SE(3) Trajectories. IROS 2022: 12994-13001 - [c48]Zhichao Li, Thai Duong, Nikolay Atanasov:
Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics. L4DC 2022: 981-993 - [i64]Thai Duong, Nikolay Atanasov:
Physics-guided Learning-based Adaptive Control on the SE(3) Manifold. CoRR abs/2201.04339 (2022) - [i63]Baoqian Wang, Junfei Xie, Nikolay Atanasov:
DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors. CoRR abs/2202.09019 (2022) - [i62]Kehan Long, Vikas Dhiman, Melvin Leok, Jorge Cortés, Nikolay Atanasov:
Safe Control Synthesis with Uncertain Dynamics and Constraints. CoRR abs/2202.09557 (2022) - [i61]Arash Asgharivaskasi, Shumon Koga, Nikolay Atanasov:
Active Mapping via Gradient Ascent Optimization of Shannon Mutual Information over Continuous SE(3) Trajectories. CoRR abs/2204.07623 (2022) - [i60]Qiaojun Feng, Nikolay Atanasov:
TerrainMesh: Metric-Semantic Terrain Reconstruction from Aerial Images Using Joint 2D-3D Learning. CoRR abs/2204.10993 (2022) - [i59]Tianyu Wang, Nikhil Karnwal, Nikolay Atanasov:
Latent Policies for Adversarial Imitation Learning. CoRR abs/2206.11299 (2022) - [i58]Julio A. Placed, Jared Strader, Henry Carrillo, Nikolay Atanasov, Vadim Indelman, Luca Carlone, José A. Castellanos:
A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers. CoRR abs/2207.00254 (2022) - [i57]Zhichao Li, Thai Duong, Nikolay Atanasov:
Robust and Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics. CoRR abs/2207.10840 (2022) - [i56]Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How:
Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams. CoRR abs/2208.00262 (2022) - [i55]Eduardo Sebastián, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagüés:
LEMURS: Learning Distributed Multi-Robot Interactions. CoRR abs/2209.09702 (2022) - [i54]Daniel T. Larsson, Arash Asgharivaskasi, Jaein Lim, Nikolay Atanasov, Panagiotis Tsiotras:
Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning. CoRR abs/2209.10035 (2022) - [i53]Pengzhi Yang, Yuhan Liu, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov:
Learning Continuous Control Policies for Information-Theoretic Active Perception. CoRR abs/2209.12427 (2022) - [i52]Kehan Long, Yinzhuang Yi, Jorge Cortés, Nikolay Atanasov:
Safe and Stable Control Synthesis for Uncertain System Models via Distributionally Robust Optimization. CoRR abs/2210.01341 (2022) - [i51]Valentin Duruisseaux, Thai Duong, Melvin Leok, Nikolay Atanasov:
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems. CoRR abs/2211.16006 (2022) - [i50]Pengzhi Yang, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov:
Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories. CoRR abs/2212.01498 (2022) - [i49]Kehan Long, Yinzhuang Yi, Jorge Cortés, Nikolay Atanasov:
Distributionally Robust Lyapunov Function Search Under Uncertainty. CoRR abs/2212.01554 (2022) - 2021
- [j9]Yiannis Kantaros, Brent Schlotfeldt, Nikolay Atanasov, George J. Pappas:
Sampling-based planning for non-myopic multi-robot information gathering. Auton. Robots 45(7): 1029-1046 (2021) - [j8]Kehan Long, Cheng Qian, Jorge Cortés, Nikolay Atanasov:
Learning Barrier Functions With Memory for Robust Safe Navigation. IEEE Robotics Autom. Lett. 6(3): 4931-4938 (2021) - [c47]Mo Shan, Qiaojun Feng, You-Yi Jau, Nikolay Atanasov:
ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description. ICCV 2021: 5926-5935 - [c46]Arash Asgharivaskasi, Nikolay Atanasov:
Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations. ICRA 2021: 1-7 - [c45]Qiaojun Feng, Nikolay Atanasov:
Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning. ICRA 2021: 5208-5214 - [c44]Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How:
Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams. ICRA 2021: 8859-8865 - [c43]Baoqian Wang, Junfei Xie, Nikolay Atanasov:
Coding for Distributed Multi-Agent Reinforcement Learning. ICRA 2021: 10625-10631 - [c42]Tianyu Zhao, Qiaojun Feng, Sai Jadhav, Nikolay Atanasov:
CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration. IROS 2021: 47-54 - [c41]Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov:
Active Exploration and Mapping via Iterative Covariance Regulation over Continuous SE(3) Trajectories. IROS 2021: 2735-2741 - [c40]Thai Duong, Nikolay A. Atanasov:
Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control. Robotics: Science and Systems 2021 - [i48]Tianyu Wang, Vikas Dhiman, Nikolay Atanasov:
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning. CoRR abs/2101.00186 (2021) - [i47]Arash Asgharivaskasi, Nikolay Atanasov:
Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observation. CoRR abs/2101.01831 (2021) - [i46]Qiaojun Feng, Nikolay Atanasov:
Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning. CoRR abs/2101.01844 (2021) - [i45]Baoqian Wang, Junfei Xie, Nikolay Atanasov:
Coding for Distributed Multi-Agent Reinforcement Learning. CoRR abs/2101.02308 (2021) - [i44]Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How:
Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams. CoRR abs/2101.11093 (2021) - [i43]Qiaojun Feng, Yue Meng, Mo Shan, Nikolay Atanasov:
Localization and Mapping using Instance-specific Mesh Models. CoRR abs/2103.04493 (2021) - [i42]Qiaojun Feng, Nikolay Atanasov:
Fully Convolutional Geometric Features for Category-level Object Alignment. CoRR abs/2103.04494 (2021) - [i41]Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov:
Active Exploration and Mapping via Iterative Covariance Regulation over Continuous SE(3) Trajectories. CoRR abs/2103.05819 (2021) - [i40]Tianyu Wang, Nikolay Atanasov:
Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata. CoRR abs/2103.05895 (2021) - [i39]Tianyu Zhao, Qiaojun Feng, Sai Jadhav, Nikolay Atanasov:
CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration. CoRR abs/2103.06911 (2021) - [i38]Ehsan Zobeidi, Alec Koppel, Nikolay Atanasov:
Dense Incremental Metric-Semantic Mapping for Multi-Agent Systems via Sparse Gaussian Process Regression. CoRR abs/2103.16170 (2021) - [i37]Thai Duong, Nikolay Atanasov:
Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control. CoRR abs/2106.12782 (2021) - [i36]Ehsan Zobeidi, Nikolay Atanasov:
A Deep Signed Directional Distance Function for Object Shape Representation. CoRR abs/2107.11024 (2021) - [i35]Mo Shan, Qiaojun Feng, You-Yi Jau, Nikolay Atanasov:
ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description. CoRR abs/2108.00355 (2021) - [i34]Thai Duong, Nikolay Atanasov:
Learning Adaptive Control for SE(3) Hamiltonian Dynamics. CoRR abs/2109.09974 (2021) - [i33]James Di, Ehsan Zobeidi, Alec Koppel, Nikolay Atanasov:
Distributed Gaussian Process Mapping for Robot Teams with Time-varying Communication. CoRR abs/2110.06401 (2021) - [i32]Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov:
Active SLAM over Continuous Trajectory and Control: A Covariance-Feedback Approach. CoRR abs/2110.07546 (2021) - [i31]Arash Asgharivaskasi, Nikolay Atanasov:
Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations. CoRR abs/2112.04063 (2021) - [i30]Zhichao Li, Thai Duong, Nikolay Atanasov:
Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics. CoRR abs/2112.04639 (2021) - 2020
- [j7]Nikolay Atanasov, Chris Amato:
Special Issue on the 2018 Robotics: Science and Systems Conference. Int. J. Robotics Res. 39(2-3) (2020) - [c39]Sutej Kulgod, Wentao Chen, Junda Huang, Ye Zhao, Nikolay Atanasov:
Temporal Logic Guided Locomotion Planning and Control in Cluttered Environments. ACC 2020: 5425-5432 - [c38]Parth Paritosh, Nikolay Atanasov, Sonia Martínez:
Marginal Density Averaging for Distributed Node Localization from Local Edge Measurements. CDC 2020: 2404-2410 - [c37]Kelsey Saulnier, Nikolay Atanasov, George J. Pappas, Vijay Kumar:
Information Theoretic Active Exploration in Signed Distance Fields. ICRA 2020: 4080-4085 - [c36]Tianyu Wang, Vikas Dhiman, Nikolay Atanasov:
Learning Navigation Costs from Demonstration in Partially Observable Environments. ICRA 2020: 4434-4440 - [c35]Zhichao Li, Ömür Arslan, Nikolay Atanasov:
Fast and Safe Path-Following Control using a State-Dependent Directional Metric. ICRA 2020: 6176-6182 - [c34]Thai Duong, Nikhil Das, Michael C. Yip, Nikolay Atanasov:
Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping. ICRA 2020: 9666-9672 - [c33]Mo Shan, Qiaojun Feng, Nikolay Atanasov:
OrcVIO: Object residual constrained Visual-Inertial Odometry. IROS 2020: 5104-5111 - [c32]Ehsan Zobeidi, Alec Koppel, Nikolay Atanasov:
Dense Incremental Metric-Semantic Mapping via Sparse Gaussian Process Regression. IROS 2020: 6180-6187 - [c31]Qiaojun Feng, Nikolay Atanasov:
Fully Convolutional Geometric Features for Category-level Object Alignment. IROS 2020: 8492-8498 - [c30]Tianyu Wang, Vikas Dhiman, Nikolay Atanasov:
Learning Navigation Costs from Demonstrations with Semantic Observations. L4DC 2020: 245-255 - [c29]Mohammad Javad Khojasteh, Vikas Dhiman, Massimo Franceschetti, Nikolay Atanasov:
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics. L4DC 2020: 781-792 - [i29]Thai Duong, Nikhil Das, Michael C. Yip, Nikolay Atanasov:
Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping. CoRR abs/2002.01921 (2020) - [i28]Zhichao Li, Omur Arslan, Nikolay Atanasov:
Fast and Safe Path-Following Control using a State-Dependent Directional Metric. CoRR abs/2002.02038 (2020) - [i27]Tianyu Wang, Vikas Dhiman, Nikolay Atanasov:
Learning Navigation Costs from Demonstration in Partially Observable Environments. CoRR abs/2002.11637 (2020) - [i26]Zhichao Li, Thai Duong, Nikolay Atanasov:
Safe Robot Navigation in Cluttered Environments using Invariant Ellipsoids and a Reference Governor. CoRR abs/2005.06694 (2020) - [i25]Tianyu Wang, Vikas Dhiman, Nikolay Atanasov:
Learning Navigation Costs from Demonstration with Semantic Observations. CoRR abs/2006.05043 (2020) - [i24]Mo Shan, Qiaojun Feng, Nikolay Atanasov:
OrcVIO: Object residual constrained Visual-Inertial Odometry. CoRR abs/2007.15107 (2020) - [i23]Thai Duong, Michael C. Yip, Nikolay Atanasov:
Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-based Occupancy Mapping. CoRR abs/2009.07207 (2020) - [i22]Kehan Long, Cheng Qian, Jorge Cortés, Nikolay Atanasov:
Learning Barrier Functions with Memory for Robust Safe Navigation. CoRR abs/2011.01899 (2020) - [i21]Vikas Dhiman, Mohammad Javad Khojasteh, Massimo Franceschetti, Nikolay Atanasov:
Control Barriers in Bayesian Learning of System Dynamics. CoRR abs/2012.14964 (2020)
2010 – 2019
- 2019
- [j6]Radoslav Ivanov, Nikolay Atanasov, Miroslav Pajic, James Weimer, George J. Pappas, Insup Lee:
Continuous Estimation Using Context-Dependent Discrete Measurements. IEEE Trans. Autom. Control. 64(1): 235-250 (2019) - [c28]Pedro P. V. Tecchio, Nikolay Atanasov, Shahin Shahrampour, George J. Pappas:
N-Dimensional Distributed Network Localization with Noisy Range Measurements and Arbitrary Anchor Placement. ACC 2019: 1195-1201 - [c27]Michael H. Ostertag, Nikolay Atanasov, Tajana Rosing:
Robust Velocity Control for Minimum Steady State Uncertainty in Persistent Monitoring Applications. ACC 2019: 2501-2508 - [c26]Parth Paritosh, Nikolay Atanasov, Sonia Martínez:
Hypothesis assignment and partial likelihood averaging for cooperative estimation. CDC 2019: 7850-7856 - [c25]Brent Schlotfeldt, Nikolay Atanasov, George J. Pappas:
Maximum Information Bounds for Planning Active Sensing Trajectories. IROS 2019: 4913-4920 - [c24]Qiaojun Feng, Yue Meng, Mo Shan, Nikolay Atanasov:
Localization and Mapping using Instance-specific Mesh Models. IROS 2019: 4985-4991 - [c23]Siwei Guo, Nikolay A. Atanasov:
Information Filter Occupancy Mapping using Decomposable Radial Kernels. IROS 2019: 7887-7894 - [c22]Yiannis Kantaros, Brent Schlotfeldt, Nikolay Atanasov, George J. Pappas:
Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering. Robotics: Science and Systems 2019 - [i20]Steven W. Chen, Tianyu Wang, Nikolay Atanasov, Vijay Kumar, Manfred Morari:
Large Scale Model Predictive Control with Neural Networks and Primal Active Sets. CoRR abs/1910.10835 (2019) - [i19]Mohammad Javad Khojasteh, Vikas Dhiman, Massimo Franceschetti, Nikolay Atanasov:
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics. CoRR abs/1912.10116 (2019) - 2018
- [j5]Kartik Mohta, Michael Watterson, Yash Mulgaonkar, Sikang Liu, Chao Qu, Anurag Makineni, Kelsey Saulnier, Ke Sun, Alex Zihao Zhu, Jeffrey A. Delmerico, Konstantinos Karydis, Nikolay Atanasov, Giuseppe Loianno, Davide Scaramuzza, Kostas Daniilidis, Camillo Jose Taylor, Vijay Kumar:
Fast, autonomous flight in GPS-denied and cluttered environments. J. Field Robotics 35(1): 101-120 (2018) - [j4]Brent Schlotfeldt, Dinesh Thakur, Nikolay Atanasov, Vijay Kumar, George J. Pappas:
Anytime Planning for Decentralized Multirobot Active Information Gathering. IEEE Robotics Autom. Lett. 3(2): 1025-1032 (2018) - [j3]Sikang Liu, Kartik Mohta, Nikolay Atanasov, Vijay Kumar:
Search-Based Motion Planning for Aggressive Flight in SE(3). IEEE Robotics Autom. Lett. 3(3): 2439-2446 (2018) - [c21]Steven W. Chen, Kelsey Saulnier, Nikolay Atanasov, Daniel D. Lee, Vijay Kumar, George J. Pappas, Manfred Morari:
Approximating Explicit Model Predictive Control Using Constrained Neural Networks. ACC 2018: 1520-1527 - [c20]Ke Sun, Kelsey Saulnier, Nikolay Atanasov, George J. Pappas, Vijay Kumar:
Dense 3-D Mapping with Spatial Correlation via Gaussian Filtering. ACC 2018: 4267-4274 - [c19]Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, Daniel D. Lee:
Memory Augmented Control Networks. ICLR (Poster) 2018 - [c18]Nikolay Atanasov, Sean L. Bowman, Kostas Daniilidis, George J. Pappas:
A Unifying View of Geometry, Semantics, and Data Association in SLAM. IJCAI 2018: 5204-5208 - [e1]Hadas Kress-Gazit, Siddhartha S. Srinivasa, Tom Howard, Nikolay Atanasov:
Robotics: Science and Systems XIV, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA, June 26-30, 2018. 2018, ISBN 978-0-9923747-4-7 [contents] - [i18]Ke Sun, Kelsey Saulnier, Nikolay Atanasov, George J. Pappas, Vijay Kumar:
Dense 3-D Mapping with Spatial Correlation via Gaussian Filtering. CoRR abs/1801.07380 (2018) - [i17]Sikang Liu, Kartik Mohta, Nikolay Atanasov, Vijay Kumar:
Towards Search-based Motion Planning for Micro Aerial Vehicles. CoRR abs/1810.03071 (2018) - 2017
- [c17]Vasileios Tzoumas, Nikolay A. Atanasov, Ali Jadbabaie, George J. Pappas:
Scheduling nonlinear sensors for stochastic process estimation. ACC 2017: 580-585 - [c16]Alex Zihao Zhu, Nikolay Atanasov, Kostas Daniilidis:
Event-Based Visual Inertial Odometry. CVPR 2017: 5816-5824 - [c15]Sean L. Bowman, Nikolay Atanasov, Kostas Daniilidis, George J. Pappas:
Probabilistic data association for semantic SLAM. ICRA 2017: 1722-1729 - [c14]Alex Zihao Zhu, Nikolay Atanasov, Kostas Daniilidis:
Event-based feature tracking with probabilistic data association. ICRA 2017: 4465-4470 - [c13]Carmelo Di Franco, Amanda Prorok, Nikolay Atanasov, Benjamin P. Kempke, Prabal Dutta, Vijay Kumar, George J. Pappas:
Calibration-free network localization using non-line-of-sight ultra-wideband measurements. IPSN 2017: 235-246 - [c12]Sikang Liu, Nikolay Atanasov, Kartik Mohta, Vijay Kumar:
Search-based motion planning for quadrotors using linear quadratic minimum time control. IROS 2017: 2872-2879 - [c11]Mabel M. Zhang, Nikolay Atanasov, Kostas Daniilidis:
Active end-effector pose selection for tactile object recognition through Monte Carlo tree search. IROS 2017: 3258-3265 - [i16]Mabel M. Zhang, Nikolay Atanasov, Kostas Daniilidis:
Active Tactile Object Recognition by Monte Carlo Tree Search. CoRR abs/1703.00095 (2017) - [i15]Steven W. Chen, Nikolay Atanasov, Arbaaz Khan, Konstantinos Karydis, Daniel D. Lee, Vijay Kumar:
Neural Network Memory Architectures for Autonomous Robot Navigation. CoRR abs/1705.08049 (2017) - [i14]Mo Shan, Nikolay Atanasov:
A spatiotemporal model with visual attention for video classification. CoRR abs/1707.02069 (2017) - [i13]Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Daniel D. Lee, Vijay Kumar:
End-to-End Navigation in Unknown Environments using Neural Networks. CoRR abs/1707.07385 (2017) - [i12]Sikang Liu, Nikolay Atanasov, Kartik Mohta, Vijay Kumar:
Search-based Motion Planning for Quadrotors using Linear Quadratic Minimum Time Control. CoRR abs/1709.05401 (2017) - [i11]Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, Daniel D. Lee:
Memory Augmented Control Networks. CoRR abs/1709.05706 (2017) - [i10]Sikang Liu, Kartik Mohta, Nikolay Atanasov, Vijay Kumar:
Search-based Motion Planning for Aggressive Flight in SE(3). CoRR abs/1710.02748 (2017) - [i9]Kartik Mohta, Michael Watterson, Yash Mulgaonkar, Sikang Liu, Chao Qu, Anurag Makineni, Kelsey Saulnier, Ke Sun, Alex Zihao Zhu, Jeffrey A. Delmerico, Konstantinos Karydis, Nikolay Atanasov, Giuseppe Loianno, Davide Scaramuzza, Kostas Daniilidis, Camillo Jose Taylor, Vijay Kumar:
Fast, Autonomous Flight in GPS-Denied and Cluttered Environments. CoRR abs/1712.02052 (2017) - 2016
- [j2]Nikolay Atanasov, Menglong Zhu, Kostas Daniilidis, George J. Pappas:
Localization from semantic observations via the matrix permanent. Int. J. Robotics Res. 35(1-3): 73-99 (2016) - [c10]Radoslav Ivanov, Nikolay Atanasov, James Weimer, Miroslav Pajic, Allan F. Simpao, Mohamed A. Rehman, George J. Pappas, Insup Lee:
Estimation of Blood Oxygen Content Using Context-Aware Filtering. ICCPS 2016: 28:1-28:10 - [c9]Jie Fu, Nikolay Atanasov, Ufuk Topcu, George J. Pappas:
Optimal temporal logic planning in probabilistic semantic maps. ICRA 2016: 3690-3697 - [i8]Mikko Lauri, Nikolay Atanasov, George J. Pappas, Risto Ritala:
Myopic Policy Bounds for Information Acquisition POMDPs. CoRR abs/1601.07279 (2016) - [i7]Vasileios Tzoumas, Nikolay A. Atanasov, Ali Jadbabaie, George J. Pappas:
Scheduling Nonlinear Sensors for Stochastic Process Estimation. CoRR abs/1609.08536 (2016) - 2015
- [c8]Radoslav Ivanov, Nikolay Atanasov, Miroslav Pajic, George J. Pappas, Insup Lee:
Robust estimation using context-aware filtering. Allerton 2015: 590-597 - [c7]Nikolay Atanasov, Jerome Le Ny, Kostas Daniilidis, George J. Pappas:
Decentralized active information acquisition: Theory and application to multi-robot SLAM. ICRA 2015: 4775-4782 - [i6]Jie Fu, Nikolay Atanasov, Ufuk Topcu, George J. Pappas:
Optimal Temporal Logic Planning in Probabilistic Semantic Maps. CoRR abs/1510.06469 (2015) - 2014
- [j1]Nikolay Atanasov, Bharath Sankaran, Jerome Le Ny, George J. Pappas, Kostas Daniilidis:
Nonmyopic View Planning for Active Object Classification and Pose Estimation. IEEE Trans. Robotics 30(5): 1078-1090 (2014) - [c6]Nikolay Atanasov, Roberto Tron, Victor M. Preciado, George J. Pappas:
Joint estimation and localization in sensor networks. CDC 2014: 6875-6882 - [c5]Menglong Zhu, Nikolay Atanasov, George J. Pappas, Kostas Daniilidis:
Active Deformable Part Models Inference. ECCV (7) 2014: 281-296 - [c4]Nikolay Atanasov, Jerome Le Ny, Kostas Daniilidis, George J. Pappas:
Information acquisition with sensing robots: Algorithms and error bounds. ICRA 2014: 6447-6454 - [c3]Nikolay Atanasov, Menglong Zhu, Kostas Daniilidis, George J. Pappas:
Semantic Localization Via the Matrix Permanent. Robotics: Science and Systems 2014 - [i5]Nikolay Atanasov, Jerome Le Ny, George J. Pappas:
Technical Report: Distributed Algorithms for Stochastic Source Seeking with Mobile Robot Networks. CoRR abs/1402.0051 (2014) - [i4]Menglong Zhu, Nikolay Atanasov, George J. Pappas, Kostas Daniilidis:
Active Deformable Part Models. CoRR abs/1404.0334 (2014) - [i3]Nikolay Atanasov, Roberto Tron, Victor M. Preciado, George J. Pappas:
Joint Estimation and Localization in Sensor Networks. CoRR abs/1404.3580 (2014) - 2013
- [c2]Nikolay Atanasov, Bharath Sankaran, Jerome Le Ny, Thomas Koletschka, George J. Pappas, Kostas Daniilidis:
Hypothesis testing framework for active object detection. ICRA 2013: 4216-4222 - [i2]Nikolay Atanasov, Jerome Le Ny, Kostas Daniilidis, George J. Pappas:
Information Acquisition with Sensing Robots: Algorithms and Error Bounds. CoRR abs/1309.5390 (2013) - [i1]Nikolay Atanasov, Bharath Sankaran, Jerome Le Ny, George J. Pappas, Kostas Daniilidis:
Nonmyopic View Planning for Active Object Detection. CoRR abs/1309.5401 (2013) - 2012
- [c1]Nikolay Atanasov, Jerome Le Ny, Nathan Michael, George J. Pappas:
Stochastic source seeking in complex environments. ICRA 2012: 3013-3018
Coauthor Index
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