Nikolay Atanasov

ORCID

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 124

Top Venues

Publications

Mohammed Alyaseen, Nikolay Atanasov, Jorge Cortés
Continuity and Boundedness of Minimum-Norm CBF-Safe Controllers. CoRR (2023)
Pengzhi Yang, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories. L4DC (2023)
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) (2023)
Yinzhuang Yi, Shumon Koga, Bogdan Gavrea, Nikolay Atanasov
Control Synthesis for Stability and Safety by Differential Complementarity Problem. IEEE Control. Syst. Lett. 7 (2023)
Zhichao Li, Nikolay Atanasov
Governor-parameterized barrier function for safe output tracking with locally sensed constraints. Autom. 152 (2023)
Valentin Duruisseaux, Thai P. Duong, Melvin Leok, Nikolay Atanasov
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems. L4DC (2023)
Vikas Dhiman, Mohammad Javad Khojasteh, Massimo Franceschetti, Nikolay Atanasov
Control Barriers in Bayesian Learning of System Dynamics. IEEE Trans. Autom. Control. 68 (1) (2023)
Arash Asgharivaskasi, Nikolay Atanasov
Semantic OcTree Mapping and Shannon Mutual Information Computation for Robot Exploration. IEEE Trans. Robotics 39 (3) (2023)
Kehan Long, Yinzhuang Yi, Jorge Cortés, Nikolay Atanasov
Distributionally Robust Lyapunov Function Search Under Uncertainty. L4DC (2023)
Zhichao Li, Thai P. Duong, Nikolay Atanasov
Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics. L4DC (2022)
Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
Active SLAM over Continuous Trajectory and Control: A Covariance-Feedback Approach. ACC (2022)
Thai P. Duong, Nikolay Atanasov
Adaptive Control of SE(3) Hamiltonian Dynamics With Learned Disturbance Features. IEEE Control. Syst. Lett. 6 (2022)
Baoqian Wang, Junfei Xie, Nikolay Atanasov
DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors. CoRR (2022)
James Di, Ehsan Zobeidi, Alec Koppel, Nikolay Atanasov
Distributed Gaussian Process Mapping for Robot Teams with Time-varying Communication. ACC (2022)
Thai P. Duong, Nikolay Atanasov
Physics-guided Learning-based Adaptive Control on the SE(3) Manifold. CoRR (2022)
Ehsan Zobeidi, Alec Koppel, Nikolay Atanasov
Dense Incremental Metric-Semantic Mapping for Multiagent Systems via Sparse Gaussian Process Regression. IEEE Trans. Robotics 38 (5) (2022)
Michael H. Ostertag, Nikolay Atanasov, Tajana Rosing
Trajectory Planning and Optimization for Minimizing Uncertainty in Persistent Monitoring Applications. J. Intell. Robotic Syst. 106 (1) (2022)
Arash Asgharivaskasi, Shumon Koga, Nikolay Atanasov
Active Mapping via Gradient Ascent Optimization of Shannon Mutual Information over Continuous SE(3) Trajectories. IROS (2022)
Eduardo Sebastián, Thai P. Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagüés
LEMURS: Learning Distributed Multi-Robot Interactions. CoRR (2022)
Tianyu Wang, Nikhil Karnwal, Nikolay Atanasov
Latent Policies for Adversarial Imitation Learning. CoRR (2022)
Pengzhi Yang, Yuhan Liu, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
Learning Continuous Control Policies for Information-Theoretic Active Perception. CoRR (2022)
Kehan Long, Yinzhuang Yi, Jorge Cortés, Nikolay Atanasov
Distributionally Robust Lyapunov Function Search Under Uncertainty. CoRR (2022)
Zhichao Li, Thai P. Duong, Nikolay Atanasov
Robust and Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics. CoRR (2022)
Pengzhi Yang, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories. CoRR (2022)
Tianyu Wang, Nikolay Atanasov
WFA-IRL: Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata. IROS (2022)
Qiaojun Feng, Nikolay Atanasov
TerrainMesh: Metric-Semantic Terrain Reconstruction from Aerial Images Using Joint 2D-3D Learning. CoRR (2022)
Kehan Long, Vikas Dhiman, Melvin Leok, Jorge Cortés, Nikolay Atanasov
Safe Control Synthesis with Uncertain Dynamics and Constraints. CoRR (2022)
Daniel T. Larsson, Arash Asgharivaskasi, Jaein Lim, Nikolay Atanasov, Panagiotis Tsiotras
Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning. CoRR (2022)
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 (2022)
Kehan Long, Vikas Dhiman, Melvin Leok, Jorge Cortés, Nikolay Atanasov
Safe Control Synthesis With Uncertain Dynamics and Constraints. IEEE Robotics Autom. Lett. 7 (3) (2022)
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 (2022)
Arash Asgharivaskasi, Shumon Koga, Nikolay Atanasov
Active Mapping via Gradient Ascent Optimization of Shannon Mutual Information over Continuous SE(3) Trajectories. CoRR (2022)
Parth Paritosh, Nikolay Atanasov, Sonia Martínez
Distributed Bayesian Estimation of Continuous Variables Over Time-Varying Directed Networks. IEEE Control. Syst. Lett. 6 (2022)
Kehan Long, Yinzhuang Yi, Jorge Cortés, Nikolay Atanasov
Safe and Stable Control Synthesis for Uncertain System Models via Distributionally Robust Optimization. CoRR (2022)
Valentin Duruisseaux, Thai P. Duong, Melvin Leok, Nikolay Atanasov
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems. CoRR (2022)
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 (2022)
Thai P. Duong, Michael C. Yip, Nikolay Atanasov
Autonomous Navigation in Unknown Environments With Sparse Bayesian Kernel-Based Occupancy Mapping. IEEE Trans. Robotics 38 (6) (2022)
Baoqian Wang, Junfei Xie, Nikolay Atanasov
DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors. IROS (2022)
Thai P. Duong, Nikolay Atanasov
Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control. CoRR (2021)
Arash Asgharivaskasi, Nikolay Atanasov
Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations. ICRA (2021)
Qiaojun Feng, Yue Meng, Mo Shan, Nikolay Atanasov
Localization and Mapping using Instance-specific Mesh Models. CoRR (2021)
James Di, Ehsan Zobeidi, Alec Koppel, Nikolay Atanasov
Distributed Gaussian Process Mapping for Robot Teams with Time-varying Communication. CoRR (2021)
Qiaojun Feng, Nikolay Atanasov
Fully Convolutional Geometric Features for Category-level Object Alignment. CoRR (2021)
Tianyu Zhao, Qiaojun Feng, Sai Jadhav, Nikolay Atanasov
CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration. IROS (2021)
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)
Arash Asgharivaskasi, Nikolay Atanasov
Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observation. CoRR (2021)
Yiannis Kantaros, Brent Schlotfeldt, Nikolay Atanasov, George J. Pappas
Sampling-based planning for non-myopic multi-robot information gathering. Auton. Robots 45 (7) (2021)
Arash Asgharivaskasi, Nikolay Atanasov
Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations. CoRR (2021)
Zhichao Li, Thai P. Duong, Nikolay Atanasov
Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics. CoRR (2021)
Baoqian Wang, Junfei Xie, Nikolay Atanasov
Coding for Distributed Multi-Agent Reinforcement Learning. ICRA (2021)
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 (2021)
Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
Active SLAM over Continuous Trajectory and Control: A Covariance-Feedback Approach. CoRR (2021)
Ehsan Zobeidi, Nikolay Atanasov
A Deep Signed Directional Distance Function for Object Shape Representation. CoRR (2021)
Thai P. Duong, Nikolay Atanasov
Learning Adaptive Control for SE(3) Hamiltonian Dynamics. CoRR (2021)
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 (2021)
Kehan Long, Cheng Qian, Jorge Cortés, Nikolay Atanasov
Learning Barrier Functions With Memory for Robust Safe Navigation. IEEE Robotics Autom. Lett. 6 (3) (2021)
Ehsan Zobeidi, Alec Koppel, Nikolay Atanasov
Dense Incremental Metric-Semantic Mapping for Multi-Agent Systems via Sparse Gaussian Process Regression. CoRR (2021)
Tianyu Wang, Nikolay Atanasov
Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata. CoRR (2021)
Tianyu Zhao, Qiaojun Feng, Sai Jadhav, Nikolay Atanasov
CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration. CoRR (2021)
Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning. CoRR (2021)
Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
Active Exploration and Mapping via Iterative Covariance Regulation over Continuous SE(3) Trajectories. CoRR (2021)
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)
Qiaojun Feng, Nikolay Atanasov
Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning. CoRR (2021)
Baoqian Wang, Junfei Xie, Nikolay Atanasov
Coding for Distributed Multi-Agent Reinforcement Learning. CoRR (2021)
Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
Active Exploration and Mapping via Iterative Covariance Regulation over Continuous SE(3) Trajectories. IROS (2021)
Qiaojun Feng, Nikolay Atanasov
Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning. ICRA (2021)
Kehan Long, Cheng Qian, Jorge Cortés, Nikolay Atanasov
Learning Barrier Functions with Memory for Robust Safe Navigation. CoRR (2020)
Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
Learning Navigation Costs from Demonstrations with Semantic Observations. L4DC (2020)
Sutej Kulgod, Wentao Chen, Junda Huang, Ye Zhao, Nikolay Atanasov
Temporal Logic Guided Locomotion Planning and Control in Cluttered Environments. ACC (2020)
Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
Learning Navigation Costs from Demonstration in Partially Observable Environments. CoRR (2020)
Zhichao Li, Ömür Arslan, Nikolay Atanasov
Fast and Safe Path-Following Control using a State-Dependent Directional Metric. ICRA (2020)
Thai P. Duong, Michael C. Yip, Nikolay Atanasov
Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-based Occupancy Mapping. CoRR (2020)
Gabriela Atanasova, Nikolay Atanasov
Small Antennas for Wearable Sensor Networks: Impact of the Electromagnetic Properties of the Textiles on Antenna Performance. Sensors 20 (18) (2020)
Zhichao Li, Thai P. Duong, Nikolay Atanasov
Safe Robot Navigation in Cluttered Environments using Invariant Ellipsoids and a Reference Governor. CoRR (2020)
Parth Paritosh, Nikolay Atanasov, Sonia Martínez
Marginal Density Averaging for Distributed Node Localization from Local Edge Measurements. CDC (2020)
Kelsey Saulnier, Nikolay Atanasov, George J. Pappas, Vijay Kumar
Information Theoretic Active Exploration in Signed Distance Fields. ICRA (2020)
Thai P. Duong, Nikhil Das, Michael C. Yip, Nikolay Atanasov
Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping. ICRA (2020)
Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
Learning Navigation Costs from Demonstration with Semantic Observations. CoRR (2020)
Mo Shan, Qiaojun Feng, Nikolay Atanasov
OrcVIO: Object residual constrained Visual-Inertial Odometry. CoRR (2020)
Thai P. Duong, Nikhil Das, Michael C. Yip, Nikolay Atanasov
Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping. CoRR (2020)
Ehsan Zobeidi, Alec Koppel, Nikolay Atanasov
Dense Incremental Metric-Semantic Mapping via Sparse Gaussian Process Regression. IROS (2020)
Vikas Dhiman, Mohammad Javad Khojasteh, Massimo Franceschetti, Nikolay Atanasov
Control Barriers in Bayesian Learning of System Dynamics. CoRR (2020)
Mohammad Javad Khojasteh, Vikas Dhiman, Massimo Franceschetti, Nikolay Atanasov
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics. L4DC (2020)
Zhichao Li, Omur Arslan, Nikolay Atanasov
Fast and Safe Path-Following Control using a State-Dependent Directional Metric. CoRR (2020)
Qiaojun Feng, Nikolay Atanasov
Fully Convolutional Geometric Features for Category-level Object Alignment. IROS (2020)
Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
Learning Navigation Costs from Demonstration in Partially Observable Environments. ICRA (2020)
Mo Shan, Qiaojun Feng, Nikolay Atanasov
OrcVIO: Object residual constrained Visual-Inertial Odometry. IROS (2020)
Nikolay Atanasov, Chris Amato
Special Issue on the 2018 Robotics: Science and Systems Conference. Int. J. Robotics Res. 39 (2-3) (2020)
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)
Yiannis Kantaros, Brent Schlotfeldt, Nikolay Atanasov, George J. Pappas
Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering. Robotics: Science and Systems (2019)
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) (2019)
Parth Paritosh, Nikolay Atanasov, Sonia Martínez
Hypothesis assignment and partial likelihood averaging for cooperative estimation. CDC (2019)
Mohammad Javad Khojasteh, Vikas Dhiman, Massimo Franceschetti, Nikolay Atanasov
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics. CoRR (2019)
Steven W. Chen, Tianyu Wang, Nikolay Atanasov, Vijay Kumar, Manfred Morari
Large Scale Model Predictive Control with Neural Networks and Primal Active Sets. CoRR (2019)
Brent Schlotfeldt, Nikolay Atanasov, George J. Pappas
Maximum Information Bounds for Planning Active Sensing Trajectories. IROS (2019)
Qiaojun Feng, Yue Meng, Mo Shan, Nikolay Atanasov
Localization and Mapping using Instance-specific Mesh Models. IROS (2019)
Michael H. Ostertag, Nikolay Atanasov, Tajana Rosing
Robust Velocity Control for Minimum Steady State Uncertainty in Persistent Monitoring Applications. ACC (2019)
Ke Sun, Kelsey Saulnier, Nikolay Atanasov, George J. Pappas, Vijay Kumar
Dense 3-D Mapping with Spatial Correlation via Gaussian Filtering. CoRR (2018)
Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, Daniel D. Lee
Memory Augmented Control Networks. ICLR (Poster) (2018)
Ke Sun, Kelsey Saulnier, Nikolay Atanasov, George J. Pappas, Vijay Kumar
Dense 3-D Mapping with Spatial Correlation via Gaussian Filtering. ACC (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nikolay Atanasov