Nikolay Atanasov
収録論文 98本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- From Distances to Trajectories: Real-Time Signed Distance Function Mapping and Distance-Accelerated Motion Planning for UAVs2026/7/1
- DexFuture: Hierarchical Future-State Visuomotor Targeting for Bimanual Dexterous Tool Use2026/6/1
- SERF: Spatiotemporal Environment and Robot Feature Map for Long-Horizon Mobile Manipulation2026/6/1
- Object-Informed Model Predictive Path Integral Control for Non-Prehensile Robot Manipulation2026/5/1
- Adapting Neural Robot Dynamics on the Fly for Predictive Control2026/4/1
- Contact-Aware Planning and Control of Continuum Robots in Highly Constrained Environments2026/4/1
- PhysGraph: Physically-Grounded Graph-Transformer Policies for Bimanual Dexterous Hand-Tool-Object Manipulation2026/3/1
- Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression2026/3/1
- Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning2026/3/1
- Control Barrier Corridors: From Safety Functions to Safe Sets2026/3/1
- MATT-Diff: Multimodal Active Target Tracking by Diffusion Policy2025/11/1
- A Shared-Autonomy Construction Robotic System for Overhead Works2025/11/1
- OREN: Octree Residual Network for Real-Time Euclidean Signed Distance Mapping2025/10/1
- Seeing the Bigger Picture: 3D Latent Mapping for Mobile Manipulation Policy Learning2025/10/1
- Policy Gradient with Self-Attention for Model-Free Distributed Nonlinear Multi-Agent Games2025/9/1
- Safe Planning in Unknown Environments Using Conformalized Semantic Maps2025/9/1
- Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions2025/5/1
- Learned IMU Bias Prediction for Invariant Visual Inertial Odometry2025/5/1
- MISO: Multiresolution Submap Optimization for Efficient Globally Consistent Neural Implicit Reconstruction2025/4/1
- LATMOS: Latent Automaton Task Model from Observation Sequences2025/3/1
- Neural Configuration-Space Barriers for Manipulation Planning and Control2025/3/1
- Learning Scene-Level Signed Directional Distance Function with Ellipsoidal Priors and Neural Residuals2025/3/1
- LTLCodeGen: Code Generation of Syntactically Correct Temporal Logic for Robot Task Planning2025/3/1
- SplatSDF: Boosting SDF-NeRF via Architecture-Level Fusion with Gaussian Splats2024/11/1
- Control Strategies for Pursuit-Evasion Under Occlusion Using Visibility and Safety Barrier Functions2024/11/1
- Generalizable Motion Planning via Operator Learning2024/10/1
- Neural Configuration Distance Function for Continuum Robot Control2024/9/1
- Safe Bubble Cover for Motion Planning on Distance Fields2024/8/1
- Variable-Frequency Model Learning and Predictive Control for Jumping Maneuvers on Legged Robots2024/7/1
- Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment2024/6/1
- SlideSLAM: Sparse, Lightweight, Decentralized Metric-Semantic SLAM for Multi-Robot Navigation2024/6/1
- Sensor-Based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments2024/5/1
- Distributionally Robust Policy and Lyapunov-Certificate Learning2024/4/1
- Multi-Robot Object SLAM Using Distributed Variational Inference2024/4/1
- Riemannian Optimization for Active Mapping with Robot Teams2024/4/1
- Learning Generalizable Feature Fields for Mobile Manipulation2024/3/1
- Distributed Optimization with Consensus Constraint for Multi-Robot Semantic Octree Mapping2024/2/1
- Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control2024/1/1
- Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems2024/1/1
- Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities2023/12/1
- EAST: Environment Aware Safe Tracking using Planning and Control Co-Design2023/10/1
- Safe Stabilizing Control for Polygonal Robots in Dynamic Elliptical Environments2023/10/1
- Optimal Scene Graph Planning with Large Language Model Guidance2023/9/1
- Distributed Variational Inference for Online Supervised Learning2023/9/1
- Dynamic Handover: Throw and Catch with Bimanual Hands2023/9/1
- Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control2023/9/1
- Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks2023/7/1
- Distributionally Robust Lyapunov Function Search Under Uncertainty2022/12/1
- Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories2022/12/1
- Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems2022/11/1
- Safe and Stable Control Synthesis for Uncertain System Models via Distributionally Robust Optimization2022/10/1
- Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning2022/9/1
- LEMURS: Learning Distributed Multi-Robot Interactions2022/9/1
- Learning Continuous Control Policies for Information-Theoretic Active Perception2022/9/1
- Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams2022/8/1
- A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers2022/7/1
- Robust and Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics2022/7/1
- Latent Policies for Adversarial Imitation Learning2022/6/1
- Active Mapping via Gradient Ascent Optimization of Shannon Mutual Information over Continuous SE(3) Trajectories2022/4/1
- TerrainMesh: Metric-Semantic Terrain Reconstruction from Aerial Images Using Joint 2D-3D Learning2022/4/1
- Safe Control Synthesis with Uncertain Dynamics and Constraints2022/2/1
- Physics-guided Learning-based Adaptive Control on the SE(3) Manifold2022/1/1
- Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics2021/12/1
- Semantic OcTree Mapping and Shannon Mutual Information Computation for Robot Exploration2021/12/1
- Distributed Gaussian Process Mapping for Robot Teams with Time-varying Communication2021/10/1
- Active SLAM over Continuous Trajectory and Control: A Covariance-Feedback Approach2021/10/1
- Adaptive Control of SE(3) Hamiltonian Dynamics with Learned Disturbance Features2021/9/1
- Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control2021/6/1
- Localization and Mapping using Instance-specific Mesh Models2021/3/1
- Dense Incremental Metric-Semantic Mapping for Multi-Agent Systems via Sparse Gaussian Process Regression2021/3/1
- Active Exploration and Mapping via Iterative Covariance Regulation over Continuous $SE(3)$ Trajectories2021/3/1
- CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration2021/3/1
- Fully Convolutional Geometric Features for Category-level Object Alignment2021/3/1
- Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning2021/1/1
- Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning2021/1/1
- Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams2021/1/1
- Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observation2021/1/1
- Control Barriers in Bayesian Learning of System Dynamics2020/12/1
- Learning Barrier Functions with Memory for Robust Safe Navigation2020/11/1
- Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-based Occupancy Mapping2020/9/1
- OrcVIO: Object residual constrained Visual-Inertial Odometry2020/7/1
- Learning Navigation Costs from Demonstration with Semantic Observations2020/6/1
- Safe Robot Navigation in Cluttered Environments using Invariant Ellipsoids and a Reference Governor2020/5/1
- Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping2020/2/1
- Learning Navigation Costs from Demonstration in Partially Observable Environments2020/2/1
- Fast and Safe Path-Following Control using a State-Dependent Directional Metric2020/2/1
- Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics2019/12/1
- Towards Search-based Motion Planning for Micro Aerial Vehicles2018/10/1
- Dense 3-D Mapping with Spatial Correlation via Gaussian Filtering2018/1/1
- Fast, Autonomous Flight in GPS-Denied and Cluttered Environments2017/12/1
- Search-based Motion Planning for Aggressive Flight in SE(3)2017/10/1
- Search-based Motion Planning for Quadrotors using Linear Quadratic Minimum Time Control2017/9/1
- End-to-End Navigation in Unknown Environments using Neural Networks2017/7/1
- Neural Network Memory Architectures for Autonomous Robot Navigation2017/5/1
- Active End-Effector Pose Selection for Tactile Object Recognition through Monte Carlo Tree Search2017/3/1
- Optimal Temporal Logic Planning in Probabilistic Semantic Maps2015/10/1
- Information Acquisition with Sensing Robots: Algorithms and Error Bounds2013/9/1
- Nonmyopic View Planning for Active Object Detection2013/9/1