- [1808.00177] Learning Dexterous In|Hand Manipulation🔍
- Learning dexterous in|hand manipulation🔍
- Learning dexterity🔍
- Learning Complex Dexterous Manipulation with Deep ...🔍
- [PDF] Learning dexterous in|hand manipulation🔍
- Learning Dexterous In|Hand Manipulation🔍
- Dexterous In|hand Manipulation by Guiding Exploration with Simple ...🔍
- Learning Dexterous In|Hand Manipulation with Vision and Touch🔍
Learning Dexterous In|Hand Manipulation
[1808.00177] Learning Dexterous In-Hand Manipulation - arXiv
Abstract page for arXiv paper 1808.00177: Learning Dexterous In-Hand Manipulation.
Learning dexterous in-hand manipulation - OpenAI - Sage Journals
Backlash model The physical Shadow Dexterous Hand is tendon-actuated, which causes a substantial amount of backlash, while the MuJoCo model ...
Dactyl is a system for manipulating objects using a Shadow Dexterous Hand(opens in a new window). We place an object such as a block or a prism ...
(PDF) Learning dexterous in-hand manipulation - ResearchGate
Learning Purely Tactile In-Hand Manipulation with a Torque-Controlled Hand ... We show that a purely tactile dextrous in-hand manipulation task with continuous ...
Learning Complex Dexterous Manipulation with Deep ... - Robotics
In this work, we show that model-free DRL can effectively scale up to complex manipulation tasks with a high-dimensional 24-DoF hand, and solve them from ...
Learning dexterous in-hand manipulation - ACM Digital Library
1. Belmont, MA: Athena Scientific. ... Bicchi A. (2000) Hands for dexterous manipulation and robust grasping: A difficult road toward simplicity. IEEE ...
[PDF] Learning dexterous in-hand manipulation - Semantic Scholar
This work uses reinforcement learning (RL) to learn dexterous in-hand manipulation policies that can perform vision-based object reorientation on a physical ...
Learning Dexterous In-Hand Manipulation - NASA/ADS
We use reinforcement learning (RL) to learn dexterous in-hand manipulation policies which can perform vision-based object reorientation on a physical Shadow ...
Dexterous In-hand Manipulation by Guiding Exploration with Simple ...
In this work, we aim to improve the sample efficiency of learning dexterous in-hand manipulation skills using controllers available via domain knowledge.
OpenAI - Learning Dexterous In-Hand Manipulation - YouTube
Check out "Superintelligence: Paths, Dangers, Strategies" on Audible: US: https://amzn.to/2RXr32F EU: https://amzn.to/2SqauwI The paper ...
Learning Dexterous In-Hand Manipulation with Vision and Touch
We demonstrate how to design and learn a simple adaptive controller to achieve in-hand object rotation using only fingertips.
Open-Loop Dexterous Manipulation with a Robot Hand - Reddit
In this study, my colleagues and I showed that if you use a soft robot hand (as opposed to clunky rigid ones), designing certain kinds of ...
Learning Deep Visuomotor Policies for Dexterous Hand Manipulation
In this work, we study methods to enable learning of sensorimotor policies that are capable of complex dexterous manipulation from raw visual and tactile ...
Deep Dynamics Models for Learning Dexterous Manipulation
Here, the learned model uses less than 4 hours of experience to enable the Shadow Hand to rotate two free-floating Baoding balls in the palm without any prior ...
Learning Dexterous Manipulation with a Robotic Hand with Alex Paino
Teaching complex robots, such as a humanoid robotic hand to solve dexterous manipulation tasks is a very difficult and long-standing problem ...
Dexterous Manipulation for Multi-Fingered Robotic Hands ... - Frontiers
They estimated the hand-object pose from raw video and used the estimation as demonstration data to learn robust policy with imitation learning. This work is a ...
Learning Deep Visuomotor Policies for Dexterous Hand Manipulation
Learning Deep Visuomotor Policies for Dexterous Hand Manipulation · Learning Deep Visuomotor Policies for Dexterous Hand Manipulation · Alerts · References.
Learning Dexterous In-Hand Manipulation : r/reinforcementlearning
46K subscribers in the reinforcementlearning community. Reinforcement learning is a subfield of AI/statistics focused on ...
We've trained a human-like robot hand to manipulate physical objects with unprecedented dexterity. Our system, called Dactyl, is trained ...
HandManipulation - Google Sites
... hand to ADROIT hand to help learn some in-hand manipulation ... TITLE = "{Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and ...