Latest

• Avoid Everything: Model-Free Collision Avoidance with Expert-Guided Fine-Tuning
• BeigeMaps: Behavioral Eigenmaps for Reinforcement Learning from Images
• Motion Policy Networks
• Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior
• STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation
• Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees
• Dual Online Stein Variational Inference for Control and Dynamics
• Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion
• RMP2 : A Differentiable Policy Class with Control-Theoretic Guarantees
• RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies
• Stein Variational Model Predictive Control
• Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees
• Collaborative Interaction Models for Optimized Human-Robot Teamwork
• Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems
• Implicit Reinforcement without Interaction at Scale: Leveraging Large-Scale Robot Manipulation Datasets for Control
• Information Theoretic Model Predictive Q-Learning
• RMPflow: A Computational Graph for Automatic Motion Policy Generation
• Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations
• Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping
• Predictor Corrector Policy Optimization
• Robust Learning of Tactile Force Estimation through Robot Interaction