Motion Planning

FetchBench: A Simulation Benchmark for Robot Fetching CoRL 2024 Gaitor: Learning a Unified Representation Across Gaits for Real-World Quadruped Locomotion CoRL 2024 Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination CoRL 2024 Goal-Conditioned On-Policy Reinforcement Learning NeurIPS 2024 Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning CoRL 2024 Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention AAAI 2024 Homotopic Path Set Planning for Robot Manipulation and Navigation RSS 2024 Humanoid Parkour Learning CoRL 2024 Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees NeurIPS 2024 In-Flight Attitude Control of a Quadruped using Deep Reinforcement Learning CoRL 2024 Jacta: A Versatile Planner for Learning Dexterous and Whole-body Manipulation CoRL 2024 Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction ECCV 2024 Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments ICML 2024 Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning ICML 2024 Learning Long-Horizon Action Dependencies in Sampling-Based Bilevel Planning CoRL 2024 Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models CoRL 2024 Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies ICML 2024 Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments NeurIPS 2024 MBC: Multi-Brain Collaborative Control for Quadruped Robots CoRL 2024 Mobile ALOHA: Learning Bimanual Mobile Manipulation using Low-Cost Whole-Body Teleoperation CoRL 2024 Model-based Diffusion for Trajectory Optimization NeurIPS 2024 Model-based Reinforcement Learning for Parameterized Action Spaces ICML 2024 Motion Diversification Networks CVPR 2024 Motion Planning in Foliated Manifolds using Repetition Roadmap RSS 2024 Multi-agent Reinforcement Learning with Hybrid Action Space for Free Gait Motion Planning of Hexapod Robots CoRL 2024