CoPRE: Improving Sensitivity in Proprioceptive Contact Detection for Low-Cost Robot Arms
cs.RO
Submitted: 2026-09-23
Updated: 2026-09-23
Project page: https://copre-arm.github.io
Terminology
Sources
- A Survey of Robot Manipulation in Contact
- Proprioceptive Robot Collision Detection through Gaussian Process Regression
- FACTR 2: Learning External Force Sensing for Commodity Robot Arms Improves Policy Learning
- Sensorless Estimation of Contact Using Deep-Learning for Human-Robot Interaction
- Robust Collision Detection for Robots with Variable Stiffness Actuation by Using MAD-CNN: Modularized-Attention-Dilated Convolutional Neural Network
- Contact Localization for Robot Arms in Motion without Torque Sensing
- UniTac: Whole-Robot Touch Sensing Without Tactile Sensors
- Soft Tracking Using Contacts for Cluttered Objects to Perform Blind Object Retrieval
- RUMI: Rummaging Using Mutual Information
- A Contact-Driven Framework for Manipulating in the Blind
- Minimalist Compliance Control
- Current as Touch: Proprioceptive Contact Feedback for Compliant Dexterous Manipulation
- Attention Is All You Need
- Decoupled Weight Decay Regularization
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