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Contact-rich Manipulation

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Showing 26–50 of 61 papers

TitleStatusHype
AugInsert: Learning Robust Visual-Force Policies via Data Augmentation for Object Assembly Tasks—0
Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis—0
LEMMo-Plan: LLM-Enhanced Learning from Multi-Modal Demonstration for Planning Sequential Contact-Rich Manipulation Tasks—0
Use the Force, Bot! -- Force-Aware ProDMP with Event-Based Replanning—0
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands—0
ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data—0
Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks—0
TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction—0
Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation—0
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly—0
GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks—0
Robot Synesthesia: In-Hand Manipulation with Visuotactile Sensing—0
MimicTouch: Leveraging Multi-modal Human Tactile Demonstrations for Contact-rich Manipulation—0
MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation—0
MOMA-Force: Visual-Force Imitation for Real-World Mobile Manipulation—0
A Virtual Reality Teleoperation Interface for Industrial Robot Manipulators—0
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment—0
Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation—0
Augmentation for Learning From Demonstration with Environmental Constraints—0
ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot InteractionCode0
Transferring Knowledge for Reinforcement Learning in Contact-Rich Manipulation—0
Learning Dense Reward with Temporal Variant Self-Supervision—0
A Differentiable Recipe for Learning Visual Non-Prehensile Planar ManipulationCode0
Learning Robotic Manipulation Skills Using an Adaptive Force-Impedance Action Space—0
Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty—0
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