Stochastic source seeking in complex environments. - Nikolay Atanasov 001; Jerome Le Ny; Nathan Michael; George J. Pappas (ICRA, 2012)

Hypothesis testing framework for active object detection. - Nikolay Atanasov 001; Bharath Sankaran; Jerome Le Ny; Thomas Koletschka; George J. Pappas; Kostas Daniilidis (ICRA, 2013)

Nonmyopic View Planning for Active Object Detection. - Nikolay Atanasov 001; Bharath Sankaran; Jerome Le Ny; George J. Pappas; Kostas Daniilidis (CoRR, 2013)

Joint estimation and localization in sensor networks. - Nikolay Atanasov 001; Roberto Tron; Victor M. Preciado; George J. Pappas (CDC, 2014)

Active Deformable Part Models Inference. - Menglong Zhu; Nikolay Atanasov 001; George J. Pappas; Kostas Daniilidis (ECCV (7), 2014)

Information acquisition with sensing robots: Algorithms and error bounds. - Nikolay Atanasov 001; Jerome Le Ny; Kostas Daniilidis; George J. Pappas (ICRA, 2014)

Semantic Localization Via the Matrix Permanent. - Nikolay Atanasov 001; Menglong Zhu; Kostas Daniilidis; George J. Pappas (Robotics: Science and Systems, 2014)

Technical Report: Distributed Algorithms for Stochastic Source Seeking with Mobile Robot Networks. - Nikolay Atanasov 001; Jerome Le Ny; George J. Pappas (CoRR, 2014)

Active Deformable Part Models. - Menglong Zhu; Nikolay Atanasov 001; George J. Pappas; Kostas Daniilidis (CoRR, 2014)

Nonmyopic View Planning for Active Object Classification and Pose Estimation. - Nikolay Atanasov 001; Bharath Sankaran; Jerome Le Ny; George J. Pappas; Kostas Daniilidis (IEEE Trans. Robotics, 2014)

Robust estimation using context-aware filtering. - Radoslav Ivanov; Nikolay Atanasov 001; Miroslav Pajic; George J. Pappas; Insup Lee 001 (Allerton, 2015)

Decentralized active information acquisition: Theory and application to multi-robot SLAM. - Nikolay Atanasov 001; Jerome Le Ny; Kostas Daniilidis; George J. Pappas (ICRA, 2015)

Estimation of Blood Oxygen Content Using Context-Aware Filtering. - Radoslav Ivanov; Nikolay Atanasov 001; James Weimer; Miroslav Pajic; Allan F. Simpao; Mohamed A. Rehman; George J. Pappas; Insup Lee 001 (ICCPS, 2016)

Optimal temporal logic planning in probabilistic semantic maps. - Jie Fu 002; Nikolay Atanasov 001; Ufuk Topcu; George J. Pappas (ICRA, 2016)

Myopic Policy Bounds for Information Acquisition POMDPs. - Mikko Lauri; Nikolay Atanasov 001; George J. Pappas; Risto Ritala (CoRR, 2016)

Localization from semantic observations via the matrix permanent. - Nikolay Atanasov 001; Menglong Zhu; Kostas Daniilidis; George J. Pappas (Int. J. Robotics Res., 2016)

Scheduling nonlinear sensors for stochastic process estimation. - Vasileios Tzoumas; Nikolay A. Atanasov; Ali Jadbabaie; George J. Pappas (ACC, 2017)

Event-Based Visual Inertial Odometry. - Alex Zihao Zhu; Nikolay Atanasov 001; Kostas Daniilidis (CVPR, 2017)

Probabilistic data association for semantic SLAM. - Sean L. Bowman; Nikolay Atanasov 001; Kostas Daniilidis; George J. Pappas (ICRA, 2017)

Event-based feature tracking with probabilistic data association. - Alex Zihao Zhu; Nikolay Atanasov 001; Kostas Daniilidis (ICRA, 2017)

Calibration-free network localization using non-line-of-sight ultra-wideband measurements. - Carmelo Di Franco; Amanda Prorok; Nikolay Atanasov 001; Benjamin P. Kempke; Prabal Dutta; Vijay Kumar 001; George J. Pappas (IPSN, 2017)

Search-based motion planning for quadrotors using linear quadratic minimum time control. - Sikang Liu; Nikolay Atanasov 001; Kartik Mohta; Vijay Kumar 001 (IROS, 2017)

Active end-effector pose selection for tactile object recognition through Monte Carlo tree search. - Mabel M. Zhang; Nikolay Atanasov 001; Kostas Daniilidis (IROS, 2017)

Neural Network Memory Architectures for Autonomous Robot Navigation. - Steven W. Chen; Nikolay Atanasov 001; Arbaaz Khan; Konstantinos Karydis; Daniel D. Lee; Vijay Kumar 001 (CoRR, 2017)

End-to-End Navigation in Unknown Environments using Neural Networks. - Arbaaz Khan; Clark Zhang; Nikolay Atanasov 001; Konstantinos Karydis; Daniel D. Lee; Vijay Kumar 001 (CoRR, 2017)

A spatiotemporal model with visual attention for video classification. - Mo Shan; Nikolay Atanasov 001 (CoRR, 2017)

Active Tactile Object Recognition by Monte Carlo Tree Search. - Mabel M. Zhang; Nikolay Atanasov 001; Kostas Daniilidis (CoRR, 2017)

Dense 3-D Mapping with Spatial Correlation via Gaussian Filtering. - Ke Sun 008; Kelsey Saulnier; Nikolay Atanasov 001; George J. Pappas; Vijay Kumar 001 (ACC, 2018)

Approximating Explicit Model Predictive Control Using Constrained Neural Networks. - Steven W. Chen; Kelsey Saulnier; Nikolay Atanasov 001; Daniel D. Lee; Vijay Kumar 001; George J. Pappas; Manfred Morari (ACC, 2018)

Memory Augmented Control Networks. - Arbaaz Khan; Clark Zhang; Nikolay Atanasov 001; Konstantinos Karydis; Vijay Kumar 001; Daniel D. Lee (ICLR (Poster), 2018)

A Unifying View of Geometry, Semantics, and Data Association in SLAM. - Nikolay Atanasov 001; Sean L. Bowman; Kostas Daniilidis; George J. Pappas (IJCAI, 2018)

Towards Search-based Motion Planning for Micro Aerial Vehicles. - Sikang Liu; Kartik Mohta; Nikolay Atanasov 001; Vijay Kumar 001 (CoRR, 2018)

Fast, autonomous flight in GPS-denied and cluttered environments. - Kartik Mohta; Michael Watterson; Yash Mulgaonkar; Sikang Liu; Chao Qu; Anurag Makineni; Kelsey Saulnier; Ke Sun 008; Alex Zihao Zhu; Jeffrey A. Delmerico; Konstantinos Karydis; Nikolay Atanasov 001; et al. (J. Field Robotics, 2018)

Search-Based Motion Planning for Aggressive Flight in SE(3). - Sikang Liu; Kartik Mohta; Nikolay Atanasov 001; Vijay Kumar 001 (IEEE Robotics Autom. Lett., 2018)

Anytime Planning for Decentralized Multirobot Active Information Gathering. - Brent Schlotfeldt; Dinesh Thakur; Nikolay Atanasov 001; Vijay Kumar 001; George J. Pappas (IEEE Robotics Autom. Lett., 2018)

Robust Velocity Control for Minimum Steady State Uncertainty in Persistent Monitoring Applications. - Michael H. Ostertag; Nikolay Atanasov 001; Tajana Rosing (ACC, 2019)

N-Dimensional Distributed Network Localization with Noisy Range Measurements and Arbitrary Anchor Placement. - Pedro P. V. Tecchio; Nikolay Atanasov 001; Shahin Shahrampour; George J. Pappas (ACC, 2019)

Hypothesis assignment and partial likelihood averaging for cooperative estimation. - Parth Paritosh; Nikolay Atanasov 001; Sonia Martínez (CDC, 2019)

Localization and Mapping using Instance-specific Mesh Models. - Qiaojun Feng; Yue Meng; Mo Shan; Nikolay Atanasov 001 (IROS, 2019)

Information Filter Occupancy Mapping using Decomposable Radial Kernels. - Siwei Guo; Nikolay A. Atanasov (IROS, 2019)

Maximum Information Bounds for Planning Active Sensing Trajectories. - Brent Schlotfeldt; Nikolay Atanasov 001; George J. Pappas (IROS, 2019)

Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering. - Yiannis Kantaros; Brent Schlotfeldt; Nikolay Atanasov 001; George J. Pappas (Robotics: Science and Systems, 2019)

Continuous Estimation Using Context-Dependent Discrete Measurements. - Radoslav Ivanov; Nikolay Atanasov 001; Miroslav Pajic; James Weimer; George J. Pappas; Insup Lee 001 (IEEE Trans. Autom. Control., 2019)

Temporal Logic Guided Locomotion Planning and Control in Cluttered Environments. - Sutej Kulgod; Wentao Chen; Junda Huang; Ye Zhao; Nikolay Atanasov 001 (ACC, 2020)

Marginal Density Averaging for Distributed Node Localization from Local Edge Measurements. - Parth Paritosh; Nikolay Atanasov 001; Sonia Martínez (CDC, 2020)

Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping. - Thai Duong 001; Nikhil Das; Michael C. Yip; Nikolay Atanasov 001 (ICRA, 2020)

Fast and Safe Path-Following Control using a State-Dependent Directional Metric. - Zhichao Li; Ömür Arslan; Nikolay Atanasov 001 (ICRA, 2020)

Information Theoretic Active Exploration in Signed Distance Fields. - Kelsey Saulnier; Nikolay Atanasov 001; George J. Pappas; Vijay Kumar 001 (ICRA, 2020)

Learning Navigation Costs from Demonstration in Partially Observable Environments. - Tianyu Wang; Vikas Dhiman; Nikolay Atanasov 001 (ICRA, 2020)

Fully Convolutional Geometric Features for Category-level Object Alignment. - Qiaojun Feng; Nikolay Atanasov 001 (IROS, 2020)

OrcVIO: Object residual constrained Visual-Inertial Odometry. - Mo Shan; Qiaojun Feng; Nikolay Atanasov 001 (IROS, 2020)

Dense Incremental Metric-Semantic Mapping via Sparse Gaussian Process Regression. - Ehsan Zobeidi; Alec Koppel; Nikolay Atanasov 001 (IROS, 2020)

Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics. - Mohammad Javad Khojasteh; Vikas Dhiman; Massimo Franceschetti; Nikolay Atanasov 001 (L4DC, 2020)

Learning Navigation Costs from Demonstrations with Semantic Observations. - Tianyu Wang; Vikas Dhiman; Nikolay Atanasov 001 (L4DC, 2020)

Safe Robot Navigation in Cluttered Environments using Invariant Ellipsoids and a Reference Governor. - Zhichao Li; Thai Duong 001; Nikolay Atanasov 001 (CoRR, 2020)

Learning Navigation Costs from Demonstration with Semantic Observations. - Tianyu Wang; Vikas Dhiman; Nikolay Atanasov 001 (CoRR, 2020)

Special Issue on the 2018 Robotics: Science and Systems Conference. - Nikolay Atanasov 001; Chris Amato (Int. J. Robotics Res., 2020)

ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description. - Mo Shan; Qiaojun Feng; You-Yi Jau; Nikolay Atanasov 001 (ICCV, 2021)

Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations. - Arash Asgharivaskasi; Nikolay Atanasov 001 (ICRA, 2021)

Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams. - Xiaoyi Cai; Brent Schlotfeldt; Kasra Khosoussi; Nikolay Atanasov 001; George J. Pappas; Jonathan P. How (ICRA, 2021)

Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning. - Qiaojun Feng; Nikolay Atanasov 001 (ICRA, 2021)

Coding for Distributed Multi-Agent Reinforcement Learning. - Baoqian Wang; Junfei Xie; Nikolay Atanasov 001 (ICRA, 2021)

Active Exploration and Mapping via Iterative Covariance Regulation over Continuous SE(3) Trajectories. - Shumon Koga; Arash Asgharivaskasi; Nikolay Atanasov 001 (IROS, 2021)

CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration. - Tianyu Zhao; Qiaojun Feng; Sai Jadhav; Nikolay Atanasov 001 (IROS, 2021)

Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control. - Thai Duong 001; Nikolay A. Atanasov (Robotics: Science and Systems, 2021)

Sampling-based planning for non-myopic multi-robot information gathering. - Yiannis Kantaros; Brent Schlotfeldt; Nikolay Atanasov 001; George J. Pappas (Auton. Robots, 2021)

Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observation. - Arash Asgharivaskasi; Nikolay Atanasov 001 (CoRR, 2021)

Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata. - Tianyu Wang; Nikolay Atanasov 001 (CoRR, 2021)

Dense Incremental Metric-Semantic Mapping for Multi-Agent Systems via Sparse Gaussian Process Regression. - Ehsan Zobeidi; Alec Koppel; Nikolay Atanasov 001 (CoRR, 2021)

A Deep Signed Directional Distance Function for Object Shape Representation. - Ehsan Zobeidi; Nikolay Atanasov 001 (CoRR, 2021)

Learning Adaptive Control for SE(3) Hamiltonian Dynamics. - Thai Duong 001; Nikolay Atanasov 001 (CoRR, 2021)

Learning Barrier Functions With Memory for Robust Safe Navigation. - Kehan Long; Cheng Qian; Jorge Cortés 001; Nikolay Atanasov 001 (IEEE Robotics Autom. Lett., 2021)

Distributed Gaussian Process Mapping for Robot Teams with Time-varying Communication. - James Di; Ehsan Zobeidi; Alec Koppel; Nikolay Atanasov 001 (ACC, 2022)

Active SLAM over Continuous Trajectory and Control: A Covariance-Feedback Approach. - Shumon Koga; Arash Asgharivaskasi; Nikolay Atanasov 001 (ACC, 2022)

Active Mapping via Gradient Ascent Optimization of Shannon Mutual Information over Continuous SE(3) Trajectories. - Arash Asgharivaskasi; Shumon Koga; Nikolay Atanasov 001 (IROS, 2022)

WFA-IRL: Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata. - Tianyu Wang; Nikolay Atanasov 001 (IROS, 2022)

DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors. - Baoqian Wang; Junfei Xie; Nikolay Atanasov 001 (IROS, 2022)

Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics. - Zhichao Li; Thai Duong 001; Nikolay Atanasov 001 (L4DC, 2022)

Large scale model predictive control with neural networks and primal active sets. - Steven W. Chen; Tianyu Wang; Nikolay Atanasov 001; Vijay Kumar 001; Manfred Morari (Autom., 2022)

Physics-guided Learning-based Adaptive Control on the SE(3) Manifold. - Thai Duong 001; Nikolay Atanasov 001 (CoRR, 2022)

TerrainMesh: Metric-Semantic Terrain Reconstruction from Aerial Images Using Joint 2D-3D Learning. - Qiaojun Feng; Nikolay Atanasov 001 (CoRR, 2022)

Latent Policies for Adversarial Imitation Learning. - Tianyu Wang; Nikhil Karnwal; Nikolay Atanasov 001 (CoRR, 2022)

Robust and Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics. - Zhichao Li; Thai Duong 001; Nikolay Atanasov 001 (CoRR, 2022)

Adaptive Control of SE(3) Hamiltonian Dynamics With Learned Disturbance Features. - Thai Duong 001; Nikolay Atanasov 001 (IEEE Control. Syst. Lett., 2022)

Distributed Bayesian Estimation of Continuous Variables Over Time-Varying Directed Networks. - Parth Paritosh; Nikolay Atanasov 001; Sonia Martínez (IEEE Control. Syst. Lett., 2022)

Trajectory Planning and Optimization for Minimizing Uncertainty in Persistent Monitoring Applications. - Michael H. Ostertag; Nikolay Atanasov 001; Tajana Rosing (J. Intell. Robotic Syst., 2022)

Safe Control Synthesis With Uncertain Dynamics and Constraints. - Kehan Long; Vikas Dhiman; Melvin Leok; Jorge Cortés 001; Nikolay Atanasov 001 (IEEE Robotics Autom. Lett., 2022)

Autonomous Navigation in Unknown Environments With Sparse Bayesian Kernel-Based Occupancy Mapping. - Thai Duong 001; Michael C. Yip; Nikolay Atanasov 001 (IEEE Trans. Robotics, 2022)

Dense Incremental Metric-Semantic Mapping for Multiagent Systems via Sparse Gaussian Process Regression. - Ehsan Zobeidi; Alec Koppel; Nikolay Atanasov 001 (IEEE Trans. Robotics, 2022)

Safe and Stable Control Synthesis for Uncertain System Models via Distributionally Robust Optimization. - Kehan Long; Yinzhuang Yi; Jorge Cortés 001; Nikolay Atanasov 001 (ACC, 2023)

Dynamic Handover: Throw and Catch with Bimanual Hands. - Binghao Huang; Yuanpei Chen; Tianyu Wang; Yuzhe Qin; Yaodong Yang 001; Nikolay Atanasov 001; Xiaolong Wang 004 (CoRL, 2023)

Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning. - Daniel T. Larsson; Arash Asgharivaskasi; Jaein Lim; Nikolay Atanasov 001; Panagiotis Tsiotras (ICRA, 2023)

LEMURS: Learning Distributed Multi-Robot Interactions. - Eduardo Sebastián; Thai Duong 001; Nikolay Atanasov 001; Eduardo Montijano; Carlos Sagüés (ICRA, 2023)

Learning Continuous Control Policies for Information-Theoretic Active Perception. - Pengzhi Yang; Yuhan Liu; Shumon Koga; Arash Asgharivaskasi; Nikolay Atanasov 001 (ICRA, 2023)

Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems. - Valentin Duruisseaux; Thai Duong 001; Melvin Leok; Nikolay Atanasov 001 (L4DC, 2023)

Distributionally Robust Lyapunov Function Search Under Uncertainty. - Kehan Long; Yinzhuang Yi; Jorge Cortés 001; Nikolay Atanasov 001 (L4DC, 2023)

Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories. - Pengzhi Yang; Shumon Koga; Arash Asgharivaskasi; Nikolay Atanasov 001 (L4DC, 2023)

Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks. - Eduardo Sebastián; Thai Duong 001; Nikolay Atanasov 001; Eduardo Montijano; Carlos Sagüés (MRS, 2023)

Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning. - Tianyu Wang; Vikas Dhiman; Nikolay Atanasov 001 (Auton. Robots, 2023)

Distributed Variational Inference for Online Supervised Learning. - Parth Paritosh; Nikolay Atanasov 001; Sonia Martínez (CoRR, 2023)

EAST: Environment Aware Safe Tracking using Planning and Control Co-Design. - Zhichao Li; Yinzhuang Yi; Zhuolin Niu; Nikolay Atanasov 001 (CoRR, 2023)

Control Synthesis for Stability and Safety by Differential Complementarity Problem. - Yinzhuang Yi; Shumon Koga; Bogdan Gavrea; Nikolay Atanasov 001 (IEEE Control. Syst. Lett., 2023)

Control Barriers in Bayesian Learning of System Dynamics. - Vikas Dhiman; Mohammad Javad Khojasteh; Massimo Franceschetti; Nikolay Atanasov 001 (IEEE Trans. Autom. Control., 2023)

Governor-parameterized barrier function for safe output tracking with locally sensed constraints. - Zhichao Li; Nikolay Atanasov 001 (Autom., 2023)

Semantic OcTree Mapping and Shannon Mutual Information Computation for Robot Exploration. - Arash Asgharivaskasi; Nikolay Atanasov 001 (IEEE Trans. Robotics, 2023)

A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers. - Julio A. Placed; Jared Strader; Henry Carrillo; Nikolay Atanasov 001; Vadim Indelman; Luca Carlone; José A. Castellanos 001 (IEEE Trans. Robotics, 2023)

Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams. - Xiaoyi Cai; Brent Schlotfeldt; Kasra Khosoussi; Nikolay Atanasov 001; George J. Pappas; Jonathan P. How (IEEE Trans. Robotics, 2023)

Safe Stabilizing Control for Polygonal Robots in Dynamic Elliptical Environments. - Kehan Long; Khoa Tran; Melvin Leok; Nikolay Atanasov 001 (ACC, 2024)

Stabilization of Nonlinear Systems through Control Barrier Functions. - Pol Mestres; Kehan Long; Melvin Leok; Nikolay Atanasov 001; Jorge Cortés 001 (CDC, 2024)

Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control. - Abdullah Altawaitan; Jason Stanley; Sambaran Ghosal; Thai Duong 001; Nikolay Atanasov 001 (ICRA, 2024)

Optimal Scene Graph Planning with Large Language Model Guidance. - Zhirui Dai; Arash Asgharivaskasi; Thai Duong 001; Shusen Lin; Maria-Elizabeth Tzes; George J. Pappas; Nikolay Atanasov 001 (ICRA, 2024)

A Deep Signed Directional Distance Function for Shape Representation. - Ehsan Zobeidi; Nikolay Atanasov 001 (IROS, 2024)

Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems. - Eduardo Sebastián; Thai Duong 001; Nikolay Atanasov 001; Eduardo Montijano; Carlos Sagüés (CoRR, 2024)

Distributed Optimization with Consensus Constraint for Multi-Robot Semantic Octree Mapping. - Arash Asgharivaskasi; Nikolay Atanasov 001 (CoRR, 2024)

Learning Generalizable Feature Fields for Mobile Manipulation. - Ri-Zhao Qiu; Yafei Hu; Ge Yang; Yuchen Song; Yang Fu; Jianglong Ye; Jiteng Mu; Ruihan Yang; Nikolay Atanasov 001; Sebastian A. Scherer; Xiaolong Wang 004 (CoRR, 2024)

Distributionally Robust Policy and Lyapunov-Certificate Learning. - Kehan Long; Jorge Cortés 001; Nikolay Atanasov 001 (CoRR, 2024)

Sensor-Based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments. - Kehan Long; Yinzhuang Yi; Zhirui Dai; Sylvia L. Herbert; Jorge Cortés 001; Nikolay Atanasov 001 (CoRR, 2024)

Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment. - Tianyu Wang; Dwait Bhatt; Xiaolong Wang 004; Nikolay Atanasov 001 (CoRR, 2024)

SlideSLAM: Sparse, Lightweight, Decentralized Metric-Semantic SLAM for Multi-Robot Navigation. - Xu Liu 007; Jiuzhou Lei; Ankit Prabhu; Yuezhan Tao; Igor Spasojevic; Pratik Chaudhari; Nikolay Atanasov 001; Vijay Kumar 001 (CoRR, 2024)

Adaptive-Frequency Model Learning and Predictive Control for Dynamic Maneuvers on Legged Robots. - Chuong Nguyen; Abdullah Altawaitan; Thai Duong 001; Nikolay Atanasov 001; Quan Nguyen 004 (CoRR, 2024)

Safe Bubble Cover for Motion Planning on Distance Fields. - Ki Myung Brian Lee; Zhirui Dai; Cedric Le Gentil; Lan Wu; Nikolay Atanasov 001; Teresa A. Vidal-Calleja (CoRR, 2024)

Neural Configuration Distance Function for Continuum Robot Control. - Kehan Long; Hardik Parwana; Georgios Fainekos; Bardh Hoxha; Hideki Okamoto; Nikolay Atanasov 001 (CoRR, 2024)

Control Strategies for Pursuit-Evasion Under Occlusion Using Visibility and Safety Barrier Functions. - Minnan Zhou; Mustafa Shaikh; Vatsalya Chaubey; Patrick Haggerty; Shumon Koga; Dimitra Panagou; Nikolay Atanasov 001 (CoRR, 2024)

PKF: Probabilistic Data Association Kalman Filter for Multi-Object Tracking. - Hanwen Cao; George J. Pappas; Nikolay Atanasov 001 (CoRR, 2024)

SplatSDF: Boosting Neural Implicit SDF via Gaussian Splatting Fusion. - Runfa Blark Li; Keito Suzuki; Bang Du; Ki Myung Brian Lee; Nikolay Atanasov 001; Truong Nguyen 001 (CoRR, 2024)

Safety-Critical Control of Discontinuous Systems with Nonsmooth Safe Sets. - Mohammed Alyaseen; Nikolay Atanasov 001; Jorge Cortés 001 (CoRR, 2024)

Feasibility Analysis and Regularity Characterization of Distributionally Robust Safe Stabilizing Controllers. - Pol Mestres; Kehan Long; Nikolay Atanasov 001; Jorge Cortés 001 (IEEE Control. Syst. Lett., 2024)

Port-Hamiltonian Neural ODE Networks on Lie Groups for Robot Dynamics Learning and Control. - Thai Duong 001; Abdullah Altawaitan; Jason Stanley; Nikolay Atanasov 001 (IEEE Trans. Robotics, 2024)

TerrainMesh: Metric-Semantic Terrain Reconstruction From Aerial Images Using Joint 2-D-3-D Learning. - Qiaojun Feng; Nikolay Atanasov 001 (IEEE Trans. Robotics, 2024)

Multi-Robot Object SLAM Using Distributed Variational Inference. - Hanwen Cao; Sriram Shreedharan; Nikolay Atanasov 001 (IEEE Robotics Autom. Lett., 2024)

Generalizable Motion Planning via Operator Learning. - Sharath Matada; Luke Bhan; Yuanyuan Shi; Nikolay Atanasov 001 (ICLR, 2025)

Safe Control of Second-Order Systems With Linear Positional Constraints. - Mohammed Alyaseen; Nikolay Atanasov 001; Jorge Cortés 001 (IEEE Control. Syst. Lett., 2025)

Importance Sampling With Stochastic Particle Flow and Diffusion Optimization. - Wenyu Zhang; Mohammad J. Khojasteh; Nikolay A. Atanasov; Florian Meyer (IEEE Signal Process. Lett., 2025)

Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities. - Parth Paritosh; Nikolay Atanasov 001; Sonia Martínez (IEEE Trans. Netw. Sci. Eng., 2025)

Riemannian Optimization for Active Mapping With Robot Teams. - Arash Asgharivaskasi; Fritz Girke; Nikolay Atanasov 001 (IEEE Trans. Robotics, 2025)

Physics-Informed Multiagent Reinforcement Learning for Distributed Multirobot Problems. - Eduardo Sebastián; Thai Duong 001; Nikolay Atanasov 001; Eduardo Montijano; Carlos Sagüés (IEEE Trans. Robotics, 2025)

Variable-Frequency Model Learning and Predictive Control for Jumping Maneuvers on Legged Robots. - Chuong Nguyen; Abdullah Altawaitan; Thai Duong 001; Nikolay Atanasov 001; Quan Nguyen 004 (IEEE Robotics Autom. Lett., 2025)

Neural Configuration-Space Barriers for Manipulation Planning and Control. - Kehan Long; Ki Myung Brian Lee; Nikola Raicevic; Niyas Attasseri; Melvin Leok; Nikolay Atanasov 001 (CoRR, 2025)

LTLCodeGen: Code Generation of Syntactically Correct Temporal Logic for Robot Task Planning. - Behrad Rabiei; Mahesh Kumar A. R.; Zhirui Dai; Surya L. S. R. Pilla; Qiyue Dong; Nikolay Atanasov 001 (CoRR, 2025)

LATMOS: Latent Automaton Task Model from Observation Sequences. - Weixiao Zhan; Qiyue Dong; Eduardo Sebastián; Nikolay Atanasov 001 (CoRR, 2025)

Safe Control of Second-Order Systems with Linear Constraints. - Mohammed Alyaseen; Nikolay Atanasov 001; Jorge Cortés 001 (CoRR, 2025)

DynaGSLAM: Real-Time Gaussian-Splatting SLAM for Online Rendering, Tracking, Motion Predictions of Moving Objects in Dynamic Scenes. - Runfa Blark Li; Mahdi Shaghaghi; Keito Suzuki; Xinshuang Liu; Varun Moparthi; Bang Du; Walker Curtis; Martin Renschler; Ki Myung Brian Lee; Nikolay Atanasov 001; Truong Q. Nguyen (CoRR, 2025)

Learning Scene-Level Signed Directional Distance Function with Ellipsoidal Priors and Neural Residuals. - Zhirui Dai; Hojoon Shin; Yulun Tian; Ki Myung Brian Lee; Nikolay Atanasov 001 (CoRR, 2025)

MISO: Multiresolution Submap Optimization for Efficient Globally Consistent Neural Implicit Reconstruction. - Yulun Tian; Hanwen Cao; Sunghwan Kim; Nikolay Atanasov 001 (CoRR, 2025)

Variational Formulation of the Particle Flow Particle Filter. - Yinzhuang Yi; Jorge Cortés 001; Nikolay Atanasov 001 (CoRR, 2025)

Learned IMU Bias Prediction for Invariant Visual Inertial Odometry. - Abdullah Altawaitan; Jason Stanley; Sambaran Ghosal; Thai Duong 001; Nikolay Atanasov 001 (CoRR, 2025)

Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions. - Kehan Long; Jorge Cortés 001; Nikolay Atanasov 001 (CoRR, 2025)

Continuity and Boundedness of Minimum-Norm CBF-Safe Controllers. - Mohammed Alyaseen; Nikolay Atanasov 001; Jorge Cortés 001 (IEEE Trans. Autom. Control., 2025)

Distributed Multiagent Reinforcement Learning With One-Hop Neighbors and Compute Straggler Mitigation. - Baoqian Wang; Junfei Xie; Nikolay Atanasov 001 (IEEE Trans. Control. Netw. Syst., 2025)