Latest

• Advancing Robotics Development with Neural Dynamics in Newton
• Neural Robot Dynamics
• VT-Refine: Learning Bimanual Assembly with Visuo-Tactile Feedback via Simulation Fine-Tuning
• Reality Gap in Robotics: Challenges, Solutions, and Best Practices
• R²D²: Unlocking Robotic Assembly and Contact Rich Manipulation with NVIDIA Research
• MatchMaker: Automated Robotic Assembly Asset Generation for Policy Learning in Simulation
• SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks
• FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty
• AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries
• Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following
• TacSL: A Library for Visuotactile Sensor Simulation and Learning
• Learning to Summarize and Answer Questions about a Virtual Robot's Past Actions
• MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
• IndustReal: Transferring Contact-Rich Assembly from Simulation to Reality
• Global and Reactive Motion Generation with Geometric Fabric Command Sequences
• Insights towards Sim2Real Contact-Rich Manipulation
• RoboReport: Summarizing a virtual robot's past actions in natural language
• Factory: Fast Contact for Robotic Assembly
• Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior
• Model Predictive Control for Fluid Human-to-Robot Handovers
• Assistive Tele-op: Leveraging Transformers to Collect Robotic Task Demonstrations