Papers

Spotlight Papers

• Evaluating Real-World Robot Manipulation Policies in Simulation

• DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation

• Evaluating a VR System for Collecting Safety-Critical Vehicle-Pedestrian Interactions

• Manipulate-Anything: Automating Real-World Robots using Vision-Language Models

Accepted Papers

• LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments

• MetaMVUC: Sim-to-Real Active Domain Adaptation based on Multi-View Uncertainty and Metadata for Sample-Efficient Robotic Grasping

• ExploRLLM: Guiding Exploration in Reinforcement Learning with Large Language Models

• Continuously Improving Mobile Manipulation with Autonomous Real-World RL

• Dynamic Scene Generation for Embodied Navigation Benchmark

• TAPAS: A Dataset for Task Assignment and Planning for Multi Agent Systems

• CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation

• TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation

• ScissorBot: Learning Generalizable Scissor Skill for Paper Cutting via Simulation, Imitation, and Sim2Real

• TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction

• The COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation

• RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches

• RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

• DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

• R+X: Retrieval and Execution from Everyday Human Videos

• Natural Language Can Help Bridge the Sim2Real Gap

• Grounding Language Plans in Demonstrations Through Counterfactual Perturbations

• Efficient Data Collection for Robotic Manipulation via Compositional Generalization

• RVT-2: Learning Precise Manipulation from Few Demonstrations

• Scaling Robot-Learning by Crowdsourcing Simulation Environments

• LaNMP: A Multifaceted Mobile Manipulation Benchmark for Robots

• From Imitation to Refinement – Residual RL for Precise Visual Assembly

• Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion