Design of a highly biomimetic anthropomorphic robotic hand towards artificial limb regeneration

By Zhe Xu, E. Todorov. 2016

251 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Control and Systems Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Sergey Levine
2. Vikash Kumar
3. Pieter Abbeel
4. Abhishek Gupta
5. Aravind Rajeswaran
6. E. Todorov
7. John Schulman
8. Anusha Nagabandi

In Control and Systems Engineering

1. Sergey Levine
2. Vikash Kumar
3. Pieter Abbeel
4. Abhishek Gupta
5. Aravind Rajeswaran
6. Chelsea Finn
7. Anusha Nagabandi
8. E. Todorov

Citations in the corpus

• Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations (2017, background): “[44] presents an anthropomorphic robotic hand that replicates the important details of human hand bio-mechanics.”
• Deep Dynamics Models for Learning Dexterous Manipulation (2019, background): “In recent years, the mechanical and hardware development of multi-fingered robotic hands has significantly advanced [6, 7], but our manipulation capabilities haven’t scaled similarly.”
• TriFinger: An Open-Source Robot for Learning Dexterity (2020, background): “These benchmarks internally use physics simulators, typically Mujoco (Todorov et al., 2012) or pyBullet (Coumans & Bai, 2016).”