Grasp Like Humans Learning Generalizable

Grasp Like Humans: Learning Generalizable Multi-Fingered Grasping from Human Proprioceptive Sensorim

What if robots could

NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands

Dataset and Code: https://irvlutd.github.io/NeuralGrasps/ We introduce a neural implicit representation for

Frame-By-Frame Video Analysis-Idiosyncratic Reach-To-Grasp Movements In Humans l Protocol Preview

Watch the Full Video at ...

Towards Generalized Manipulation Learning through Grasp Mechanics-based Features & Self-Supervision

Authors: Andrew S. Morgan, Walter G. Bircher, and Aaron M. Dollar IEEE Transactions on Robotics, 2021. Abstract:

Vision-based grasp learning of an anthropomorphic hand-arm system

In this work we propose an algorithm for

DexNet 2.0: 99% Precision Grasping

UC Berkeley AUTOLAB http://bit.ly/AUTOLAB Dex-Net 2.0: Deep

Grasp It Like a Pro 2.0: A Data-Driven Approach Exploiting Basic Shape Decomposition and Human Data

By utilizing a small number of

Grasp It Like A Pro: Grasp of Unknown Objects With Robotic Hands Based on Skilled Human Expertise

A method to

Stanford Seminar - Hands in the Real World: Grasping Outside the Lab

Hannah Stuart UC Berkeley November 22, 2019 Robots face a rapidly expanding range of potential applications beyond...

Grasping Objects Big and Small: Human Heuristics Relating Grasp-Type and Object Size

ICRA 2018 Spotlight Video Interactive Session Wed PM Pod E.5 Authors: Kothari, Ammar; Grimm, Cindy; Morrow, John; ...

SoloFinger: Robust Microgestures while Grasping Everyday Objects

SoloFinger: Robust Microgestures while

A Grasp Pose is All You Need

We propose a Deep Reinforcement

From Language to Grasp

From Language to