Advancing In-hand Dexterous Manipulation via Machine Learning
Robots are becoming better at navigating and moving around, but they still struggle with using tools, which severely limits their usefulness for household tasks. Using tools requires dexterously manipulating everyday objects like hammers, scissors, knives, screwdrivers, etc. While simple for humans,...
Main Author: | Chen, Tao |
---|---|
Other Authors: | Agrawal, Pulkit |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2024
|
Online Access: | https://hdl.handle.net/1721.1/156350 |
Similar Items
-
Extrinsic dexterity: In-hand manipulation with external forces
by: Paolini, Robert, et al.
Published: (2017) -
Dexterous Object Manipulation with an Anthropomorphic Robot Hand via Natural Hand Pose Transformer and Deep Reinforcement Learning
by: Patricio Rivera Lopez, et al.
Published: (2022-12-01) -
Anthropomorphic Soft Hand: Dexterity, Sensing, and Machine Learning
by: Yang Wang, et al.
Published: (2024-02-01) -
Review on human‐like robot manipulation using dexterous hands
by: Suhas Kadalagere Sampath, et al.
Published: (2023-03-01) -
Laser-Actuated Multi-Fingered Hand for Dexterous Manipulation of Micro-Objects
by: Quang Minh Ta, et al.
Published: (2023-01-01)