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Contact-rich Manipulation

Papers

Showing 125 of 61 papers

TitleStatusHype
Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich ManipulationCode3
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot LearningCode2
Learning Variable Compliance Control From a Few Demonstrations for Bimanual Robot with Haptic Feedback Teleoperation SystemCode1
Reinforcement Learning for Contact-Rich Tasks: Robotic Peg Insertion StrategiesCode1
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich TasksCode1
Accelerating Robot Learning of Contact-Rich Manipulations: A Curriculum Learning StudyCode1
Recovery RL: Safe Reinforcement Learning with Learned Recovery ZonesCode1
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich TasksCode1
A Differentiable Recipe for Learning Visual Non-Prehensile Planar ManipulationCode0
Learning from the Hindsight Plan -- Episodic MPC ImprovementCode0
ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot InteractionCode0
GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks0
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing0
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly0
ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation0
Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis0
Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost0
A Virtual Reality Teleoperation Interface for Industrial Robot Manipulators0
Learning Dense Reward with Temporal Variant Self-Supervision0
DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation0
Learning Force Control for Contact-rich Manipulation Tasks with Rigid Position-controlled Robots0
Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation0
Learning Compliance Adaptation in Contact-Rich Manipulation0
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors0
Augmentation for Learning From Demonstration with Environmental Constraints0
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