Nikolay Atanasov

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 33

Top Topics

Robust Counterpart

Variational Inference

Reinforcement Learning

Top Venues

IEEE Trans. Robotics

IEEE Control. Syst. Lett.

Publications

Qiaojun Feng, Nikolay Atanasov
TerrainMesh: Metric-Semantic Terrain Reconstruction From Aerial Images Using Joint 2-D-3-D Learning. IEEE Trans. Robotics 40 (2024)
Arash Asgharivaskasi, Fritz Girke, Nikolay Atanasov
Riemannian Optimization for Active Mapping with Robot Teams. CoRR (2024)
Chuong Nguyen, Abdullah Altawaitan, Thai Duong, Nikolay Atanasov, Quan Nguyen
Adaptive-Frequency Model Learning and Predictive Control for Dynamic Maneuvers on Legged Robots. CoRR (2024)
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 (2024)
Eduardo Sebastián, Thai P. Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagüés
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems. CoRR (2024)
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 (2024)
Hanwen Cao, Sriram Shreedharan, Nikolay Atanasov
Multi-Robot Object SLAM using Distributed Variational Inference. CoRR (2024)
Kehan Long, Jorge Cortés, Nikolay Atanasov
Distributionally Robust Policy and Lyapunov-Certificate Learning. CoRR (2024)
Pol Mestres, Kehan Long, Nikolay Atanasov, Jorge Cortés
Feasibility Analysis and Regularity Characterization of Distributionally Robust Safe Stabilizing Controllers. IEEE Control. Syst. Lett. 8 (2024)
Tianyu Wang, Dwait Bhatt, Xiaolong Wang, Nikolay Atanasov
Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment. CoRR (2024)
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 (2024)
Thai Duong, Abdullah Altawaitan, Jason Stanley, Nikolay Atanasov
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control. CoRR (2024)
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 (2024)
Arash Asgharivaskasi, Nikolay Atanasov
Distributed Optimization with Consensus Constraint for Multi-Robot Semantic Octree Mapping. CoRR (2024)
Abdullah Altawaitan, Jason Stanley, Sambaran Ghosal, Thai Duong, Nikolay Atanasov
Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control. ICRA (2024)
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)
Kehan Long, Yinzhuang Yi, Jorge Cortés, Nikolay Atanasov
Safe and Stable Control Synthesis for Uncertain System Models via Distributionally Robust Optimization. ACC (2023)
Pengzhi Yang, Yuhan Liu, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
Learning Continuous Control Policies for Information-Theoretic Active Perception. ICRA (2023)
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) (2023)
Binghao Huang, Yuanpei Chen, Tianyu Wang, Yuzhe Qin, Yaodong Yang, Nikolay Atanasov, Xiaolong Wang
Dynamic Handover: Throw and Catch with Bimanual Hands. CoRR (2023)
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)
Eduardo Sebastián, Thai P. Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagüés
LEMURS: Learning Distributed Multi-Robot Interactions. ICRA (2023)
Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning. Auton. Robots 47 (6) (2023)
Zhichao Li, Yinzhuang Yi, Zhuolin Niu, Nikolay Atanasov
EAST: Environment Aware Safe Tracking using Planning and Control Co-Design. CoRR (2023)
Eduardo Sebastián, Thai P. Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagüés
Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks. CoRR (2023)
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 (2023)
Binghao Huang, Yuanpei Chen, Tianyu Wang, Yuzhe Qin, Yaodong Yang, Nikolay Atanasov, Xiaolong Wang
Dynamic Handover: Throw and Catch with Bimanual Hands. CoRL (2023)
Kehan Long, Khoa Tran, Melvin Leok, Nikolay Atanasov
Safe Stabilizing Control for Polygonal Robots in Dynamic Elliptical Environments. CoRR (2023)
Parth Paritosh, Nikolay Atanasov, Sonia Martínez
Distributed Variational Inference for Online Supervised Learning. CoRR (2023)
Abdullah Altawaitan, Jason Stanley, Sambaran Ghosal, Thai Duong, Nikolay Atanasov
Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control. CoRR (2023)
Eduardo Sebastián, Thai P. Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagüés
Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks. MRS (2023)
Parth Paritosh, Nikolay Atanasov, Sonia Martínez
Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities. CoRR (2023)
Pol Mestres, Kehan Long, Nikolay Atanasov, Jorge Cortés
Feasibility Analysis and Regularity Characterization of Distributionally Robust Safe Stabilizing Controllers. CoRR (2023)