Media Summary: This paper addresses the problem of selecting from a choice of possible grasps, so that impact forces will be minimised if a ... Developed an open-source parallel gripper with an embedded soft skin fingertip sensor, enhancing SoMo (Soft Motion) simulations facilitate computation design studies. Here we show one example of a large-scale design ...
Safe Grasping - Detailed Analysis & Overview
This paper addresses the problem of selecting from a choice of possible grasps, so that impact forces will be minimised if a ... Developed an open-source parallel gripper with an embedded soft skin fingertip sensor, enhancing SoMo (Soft Motion) simulations facilitate computation design studies. Here we show one example of a large-scale design ... Quality-focused Active Adversarial Policy for Safe Grasping in Human-Robot Interaction (Demo Video) Unscented Bayesian Optimization for Safe Robot Grasping UC Berkeley AUTOLAB Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and ...
In this paper, we propose a multi-view deep learning approach to handle robust object This is the video for ECC2025 paper, "Robust Adaptive Carl Winge's reimplementation of the paper - "Sample Efficient
