Byron Boots
収録論文 84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
- Discriminative Barrier Functions for Safe Adversarial Imitation Learning from Observation2026/7/1
- Visuo-Tactile World Models2026/2/1
- Online World Modeling Enables Real-World Inverse Reinforcement Learning from Observation2026/2/1
- VAMOS: A Hierarchical Vision-Language-Action Model for Capability-Modulated and Steerable Navigation2025/10/1
- Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning2025/10/1
- Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes2025/8/1
- Model Predictive Adversarial Imitation Learning for Planning from Observation2025/7/1
- Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation2025/6/1
- Self-supervised perception for tactile skin covered dexterous hands2025/5/1
- Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps2025/4/1
- Wheeled Lab: Modern Sim2Real for Low-cost, Open-source Wheeled Robotics2025/2/1
- Dynamic Non-Prehensile Object Transport via Model-Predictive Reinforcement Learning2024/12/1
- Sparsh: Self-supervised touch representations for vision-based tactile sensing2024/10/1
- Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL2024/10/1
- Agile Continuous Jumping in Discontinuous Terrains2024/9/1
- Dynamics Models in the Aggressive Off-Road Driving Regime2024/5/1
- Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving2024/3/1
- LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators2024/3/1
- V-STRONG: Visual Self-Supervised Traversability Learning for Off-road Navigation2023/12/1
- Model Predictive Control for Aggressive Driving Over Uneven Terrain2023/11/1
- Deep Model Predictive Optimization2023/10/1
- DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control2023/10/1
- Perceiving Extrinsic Contacts from Touch Improves Learning Insertion Policies2023/9/1
- CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller2023/6/1
- Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula2023/5/1
- Learning to Read Braille: Bridging the Tactile Reality Gap with Diffusion Models2023/4/1
- Continuous Versatile Jumping Using Learned Action Residuals2023/4/1
- TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation2023/3/1
- Learning Sampling Distributions for Model Predictive Control2022/12/1
- Learning to Optimize in Model Predictive Control2022/12/1
- Neural Contact Fields: Tracking Extrinsic Contact with Tactile Sensing2022/10/1
- Motion Policy Networks2022/10/1
- Learning Semantics-Aware Locomotion Skills from Human Demonstration2022/6/1
- Learning Implicit Priors for Motion Optimization2022/4/1
- Motivating Physical Activity via Competitive Human-Robot Interaction2022/2/1
- Nonprehensile Riemannian Motion Predictive Control2021/11/1
- Stein Variational Probabilistic Roadmaps2021/11/1
- Leveraging Experience in Lazy Search2021/10/1
- Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior2021/9/1
- Entropy Regularized Motion Planning via Stein Variational Inference2021/7/1
- Safe Reinforcement Learning Using Advantage-Based Intervention2021/6/1
- Imitation Learning via Simultaneous Optimization of Policies and Auxiliary Trajectories2021/5/1
- The Value of Planning for Infinite-Horizon Model Predictive Control2021/4/1
- Fast and Efficient Locomotion via Learned Gait Transitions2021/4/1
- STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation2021/4/1
- RMP2: A Structured Composable Policy Class for Robot Learning2021/3/1
- Dual Online Stein Variational Inference for Control and Dynamics2021/3/1
- Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees2020/12/1
- Blending MPC & Value Function Approximation for Efficient Reinforcement Learning2020/12/1
- Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation2020/11/1
- Stein Variational Model Predictive Control2020/11/1
- Geometric Fabrics for the Acceleration-based Design of Robotic Motion2020/10/1
- Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion2020/9/1
- Explaining Fast Improvement in Online Imitation Learning2020/7/1
- RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies2020/7/1
- Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems2020/5/1
- Information Theoretic Model Predictive Q-Learning2020/1/1
- IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data2019/11/1
- Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping2019/10/1
- Collaborative Behavior Models for Optimized Human-Robot Teamwork2019/10/1
- Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference2019/8/1
- Differentiable Gaussian Process Motion Planning2019/7/1
- Leveraging Experience in Lazy Search2019/7/1
- Composing Task-Agnostic Policies with Deep Reinforcement Learning2019/5/1
- Stable, Concurrent Controller Composition for Multi-Objective Robotic Tasks2019/3/1
- Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing2019/3/1
- Multi-Objective Policy Generation for Multi-Robot Systems Using Riemannian Motion Policies2019/2/1
- An Online Learning Approach to Model Predictive Control2019/2/1
- RMPflow: A Computational Graph for Automatic Motion Policy Generation2018/11/1
- Robust Learning of Tactile Force Estimation through Robot Interaction2018/10/1
- Adversarial Imitation via Variational Inverse Reinforcement Learning2018/9/1
- Learning Generalizable Robot Skills from Demonstrations in Cluttered Environments2018/8/1
- Semantically Meaningful View Selection2018/7/1
- STEAP: simultaneous trajectory estimation and planning2018/7/1
- Deep Forward and Inverse Perceptual Models for Tracking and Prediction2017/10/1
- Agile Autonomous Driving using End-to-End Deep Imitation Learning2017/9/1
- Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference2017/7/1
- Sparse Gaussian Processes for Continuous-Time Trajectory Estimation on Matrix Lie Groups2017/5/1
- Approximately Optimal Continuous-Time Motion Planning and Control via Probabilistic Inference2017/2/1
- 4D Crop Monitoring: Spatio-Temporal Reconstruction for Agriculture2016/10/1
- Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference2016/8/1
- Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces2016/1/1
- Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping2015/4/1
- A Spectral Learning Approach to Range-Only SLAM2012/7/1