Representing Unstructured Environments for Robotic Manipulation: Toward Generalization, Dexterity and Robustness
We would like to have highly useful robot manipulators that can handle a diversity of objects/environments, perform challenging manipulation tasks while being sufficiently robust such that deployment at scale is feasible. This thesis aims at such a generalizable, dexterous and robust manipulation pi...
Main Author: | Gao, Wei |
---|---|
Other Authors: | Tedrake, Russ |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2022
|
Online Access: | https://hdl.handle.net/1721.1/140017 |
Similar Items
-
Human Inspired Dexterity in Robotic Manipulation /
by: Watanabe, Tetsuyou, editor 649743, et al.
Published: (2018) -
Visuo-Tactile Perception for Dexterous Robotic Manipulation
by: Bauza Villalonga, Maria
Published: (2023) -
Robot Manipulation Skills Transfer for Sim-to-Real in Unstructured Environments
by: Zikang Yin, et al.
Published: (2023-01-01) -
Review on human‐like robot manipulation using dexterous hands
by: Suhas Kadalagere Sampath, et al.
Published: (2023-03-01) -
A Dexterity Measure for the Kinematic Control of Robot Manipulator with Redundany
by: Chang, Pyung H.
Published: (2004)