kochlisGit/Shadow-Hand-Controller
Construction of controllers for Shadow-Hand in Mujoco environment, using Deep Learning. 2 Different methods were used to create the controllers: a) Behavioral Cloning b) Deep Reinforcement Learning
This project helps researchers and roboticists develop controllers for the Shadow-Hand, a 3D robotic hand model. By providing sign-language gesture commands, it outputs the precise motor control signals needed for the hand to perform those gestures in a simulated environment. This tool is designed for those working on robotic manipulation and human-robot interaction.
No commits in the last 6 months.
Use this if you are developing or experimenting with robotic hand control in a simulated environment and need a way to translate high-level gesture commands into low-level motor actions.
Not ideal if you are looking for a physical robot controller ready for immediate deployment without simulation or deep learning model development.
Stars
22
Forks
4
Language
Python
License
MIT
Category
Last pushed
Aug 15, 2023
Commits (30d)
0
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