Nathan Ratliff

収録論文 32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

• Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
  2025/11/1
• End-to-end RL Improves Dexterous Grasping Policies
  2025/9/1
• DextrAH-RGB: Visuomotor Policies to Grasp Anything with Dexterous Hands
  2024/12/1
• Synthetica: Large Scale Synthetic Data for Robot Perception
  2024/10/1
• cuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation
  2023/10/1
• Fabrics: A Foundationally Stable Medium for Encoding Prior Experience
  2023/9/1
• Imitation Learning via Simultaneous Optimization of Policies and Auxiliary Trajectories
  2021/5/1
• STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation
  2021/4/1
• RMP2: A Structured Composable Policy Class for Robot Learning
  2021/3/1
• Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees
  2020/12/1
• Geometric Fabrics for the Acceleration-based Design of Robotic Motion
  2020/10/1
• An Interior Point Method Solving Motion Planning Problems with Narrow Passages
  2020/7/1
• RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies
  2020/7/1
• Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control
  2020/6/1
• Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning
  2020/5/1
• Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems
  2020/5/1
• DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System
  2019/10/1
• Collaborative Behavior Models for Optimized Human-Robot Teamwork
  2019/10/1
• Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping
  2019/10/1
• Scaling Local Control to Large-Scale Topological Navigation
  2019/9/1
• Representing Robot Task Plans as Robust Logical-Dynamical Systems
  2019/8/1
• Neural Autonomous Navigation with Riemannian Motion Policy
  2019/4/1
• Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing
  2019/3/1
• RMPflow: A Computational Graph for Automatic Motion Policy Generation
  2018/11/1
• Learning Latent Space Dynamics for Tactile Servoing
  2018/11/1
• Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience
  2018/10/1
• Robust Learning of Tactile Force Estimation through Robot Interaction
  2018/10/1
• A New Data Source for Inverse Dynamics Learning
  2017/10/1
• Real-time Perception meets Reactive Motion Generation
  2017/3/1
• DOOMED: Direct Online Optimization of Modeling Errors in Dynamics
  2016/8/1
• On the Fundamental Importance of Gauss-Newton in Motion Optimization
  2016/5/1
• Policy Learning with Hypothesis based Local Action Selection
  2015/3/1