Nikolay Atanasov

Orcid: 0000-0003-0272-7580

Affiliations:
  • University of California San Diego, Electrical and Computer Engineering Department, La Jolla, CA, USA


According to our database1, Nikolay Atanasov authored at least 119 papers between 2012 and 2024.

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Bibliography

2024
TerrainMesh: Metric-Semantic Terrain Reconstruction From Aerial Images Using Joint 2-D-3-D Learning.
IEEE Trans. Robotics, 2024

Feasibility Analysis and Regularity Characterization of Distributionally Robust Safe Stabilizing Controllers.
IEEE Control. Syst. Lett., 2024

Learning Generalizable Feature Fields for Mobile Manipulation.
CoRR, 2024

Distributed Optimization with Consensus Constraint for Multi-Robot Semantic Octree Mapping.
CoRR, 2024

Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control.
CoRR, 2024

Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems.
CoRR, 2024

2023
Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams.
IEEE Trans. Robotics, August, 2023

A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers.
IEEE Trans. Robotics, June, 2023

Semantic OcTree Mapping and Shannon Mutual Information Computation for Robot Exploration.
IEEE Trans. Robotics, June, 2023

Governor-parameterized barrier function for safe output tracking with locally sensed constraints.
Autom., June, 2023

Control Barriers in Bayesian Learning of System Dynamics.
IEEE Trans. Autom. Control., 2023

Control Synthesis for Stability and Safety by Differential Complementarity Problem.
IEEE Control. Syst. Lett., 2023

Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities.
CoRR, 2023

EAST: Environment Aware Safe Tracking using Planning and Control Co-Design.
CoRR, 2023

Safe Stabilizing Control for Polygonal Robots in Dynamic Elliptical Environments.
CoRR, 2023

Optimal Scene Graph Planning with Large Language Model Guidance.
CoRR, 2023

Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control.
CoRR, 2023

Dynamic Handover: Throw and Catch with Bimanual Hands.
CoRR, 2023

Distributed Variational Inference for Online Supervised Learning.
CoRR, 2023

Continuity and Boundedness of Minimum-Norm CBF-Safe Controllers.
CoRR, 2023

Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning.
Auton. Robots, 2023

Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks.
Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023

Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Distributionally Robust Lyapunov Function Search Under Uncertainty.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Learning Continuous Control Policies for Information-Theoretic Active Perception.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

LEMURS: Learning Distributed Multi-Robot Interactions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Dynamic Handover: Throw and Catch with Bimanual Hands.
Proceedings of the Conference on Robot Learning, 2023

Safe and Stable Control Synthesis for Uncertain System Models via Distributionally Robust Optimization.
Proceedings of the American Control Conference, 2023

2022
Dense Incremental Metric-Semantic Mapping for Multiagent Systems via Sparse Gaussian Process Regression.
IEEE Trans. Robotics, 2022

Autonomous Navigation in Unknown Environments With Sparse Bayesian Kernel-Based Occupancy Mapping.
IEEE Trans. Robotics, 2022

Safe Control Synthesis With Uncertain Dynamics and Constraints.
IEEE Robotics Autom. Lett., 2022

Trajectory Planning and Optimization for Minimizing Uncertainty in Persistent Monitoring Applications.
J. Intell. Robotic Syst., 2022

Distributed Bayesian Estimation of Continuous Variables Over Time-Varying Directed Networks.
IEEE Control. Syst. Lett., 2022

Adaptive Control of SE(3) Hamiltonian Dynamics With Learned Disturbance Features.
IEEE Control. Syst. Lett., 2022

Robust and Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics.
CoRR, 2022

Latent Policies for Adversarial Imitation Learning.
CoRR, 2022

TerrainMesh: Metric-Semantic Terrain Reconstruction from Aerial Images Using Joint 2D-3D Learning.
CoRR, 2022

Physics-guided Learning-based Adaptive Control on the SE(3) Manifold.
CoRR, 2022

Large scale model predictive control with neural networks and primal active sets.
Autom., 2022

Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics.
Proceedings of the Learning for Dynamics and Control Conference, 2022

DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

WFA-IRL: Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Active Mapping via Gradient Ascent Optimization of Shannon Mutual Information over Continuous SE(3) Trajectories.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Active SLAM over Continuous Trajectory and Control: A Covariance-Feedback Approach.
Proceedings of the American Control Conference, 2022

Distributed Gaussian Process Mapping for Robot Teams with Time-varying Communication.
Proceedings of the American Control Conference, 2022

2021
Learning Barrier Functions With Memory for Robust Safe Navigation.
IEEE Robotics Autom. Lett., 2021

Learning Adaptive Control for SE(3) Hamiltonian Dynamics.
CoRR, 2021

A Deep Signed Directional Distance Function for Object Shape Representation.
CoRR, 2021

Dense Incremental Metric-Semantic Mapping for Multi-Agent Systems via Sparse Gaussian Process Regression.
CoRR, 2021

Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata.
CoRR, 2021

Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observation.
CoRR, 2021

Sampling-based planning for non-myopic multi-robot information gathering.
Auton. Robots, 2021

Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Active Exploration and Mapping via Iterative Covariance Regulation over Continuous SE(3) Trajectories.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Coding for Distributed Multi-Agent Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Special Issue on the 2018 Robotics: Science and Systems Conference.
Int. J. Robotics Res., 2020

Learning Navigation Costs from Demonstration with Semantic Observations.
CoRR, 2020

Safe Robot Navigation in Cluttered Environments using Invariant Ellipsoids and a Reference Governor.
CoRR, 2020

Learning Navigation Costs from Demonstrations with Semantic Observations.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Dense Incremental Metric-Semantic Mapping via Sparse Gaussian Process Regression.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

OrcVIO: Object residual constrained Visual-Inertial Odometry.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Fully Convolutional Geometric Features for Category-level Object Alignment.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Navigation Costs from Demonstration in Partially Observable Environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Information Theoretic Active Exploration in Signed Distance Fields.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Fast and Safe Path-Following Control using a State-Dependent Directional Metric.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Marginal Density Averaging for Distributed Node Localization from Local Edge Measurements.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Temporal Logic Guided Locomotion Planning and Control in Cluttered Environments.
Proceedings of the 2020 American Control Conference, 2020

2019
Continuous Estimation Using Context-Dependent Discrete Measurements.
IEEE Trans. Autom. Control., 2019

Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering.
Proceedings of the Robotics: Science and Systems XV, 2019

Maximum Information Bounds for Planning Active Sensing Trajectories.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Information Filter Occupancy Mapping using Decomposable Radial Kernels.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Localization and Mapping using Instance-specific Mesh Models.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Hypothesis assignment and partial likelihood averaging for cooperative estimation.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

N-Dimensional Distributed Network Localization with Noisy Range Measurements and Arbitrary Anchor Placement.
Proceedings of the 2019 American Control Conference, 2019

Robust Velocity Control for Minimum Steady State Uncertainty in Persistent Monitoring Applications.
Proceedings of the 2019 American Control Conference, 2019

2018
Anytime Planning for Decentralized Multirobot Active Information Gathering.
IEEE Robotics Autom. Lett., 2018

Search-Based Motion Planning for Aggressive Flight in SE(3).
IEEE Robotics Autom. Lett., 2018

Fast, autonomous flight in GPS-denied and cluttered environments.
J. Field Robotics, 2018

Towards Search-based Motion Planning for Micro Aerial Vehicles.
CoRR, 2018

A Unifying View of Geometry, Semantics, and Data Association in SLAM.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Memory Augmented Control Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

Approximating Explicit Model Predictive Control Using Constrained Neural Networks.
Proceedings of the 2018 Annual American Control Conference, 2018

Dense 3-D Mapping with Spatial Correlation via Gaussian Filtering.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Active Tactile Object Recognition by Monte Carlo Tree Search.
CoRR, 2017

A spatiotemporal model with visual attention for video classification.
CoRR, 2017

End-to-End Navigation in Unknown Environments using Neural Networks.
CoRR, 2017

Neural Network Memory Architectures for Autonomous Robot Navigation.
CoRR, 2017

Active end-effector pose selection for tactile object recognition through Monte Carlo tree search.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Search-based motion planning for quadrotors using linear quadratic minimum time control.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Calibration-free network localization using non-line-of-sight ultra-wideband measurements.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

Event-based feature tracking with probabilistic data association.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Probabilistic data association for semantic SLAM.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Event-Based Visual Inertial Odometry.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Scheduling nonlinear sensors for stochastic process estimation.
Proceedings of the 2017 American Control Conference, 2017

2016
Localization from semantic observations via the matrix permanent.
Int. J. Robotics Res., 2016

Myopic Policy Bounds for Information Acquisition POMDPs.
CoRR, 2016

Optimal temporal logic planning in probabilistic semantic maps.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Estimation of Blood Oxygen Content Using Context-Aware Filtering.
Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

2015
Decentralized active information acquisition: Theory and application to multi-robot SLAM.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Robust estimation using context-aware filtering.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Nonmyopic View Planning for Active Object Classification and Pose Estimation.
IEEE Trans. Robotics, 2014

Active Deformable Part Models.
CoRR, 2014

Technical Report: Distributed Algorithms for Stochastic Source Seeking with Mobile Robot Networks.
CoRR, 2014

Semantic Localization Via the Matrix Permanent.
Proceedings of the Robotics: Science and Systems X, 2014

Information acquisition with sensing robots: Algorithms and error bounds.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Active Deformable Part Models Inference.
Proceedings of the Computer Vision - ECCV 2014, 2014

Joint estimation and localization in sensor networks.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Nonmyopic View Planning for Active Object Detection.
CoRR, 2013

Hypothesis testing framework for active object detection.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012
Stochastic source seeking in complex environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012


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