MyoHub/myochallenge_2023eval

MyoChallenge 23 -- Towards Human-Level Dexterity and Agility

25
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Experimental

This project helps researchers and engineers develop and test advanced control systems for robotic or prosthetic limbs. It takes in control algorithms designed for physiologically realistic musculoskeletal models and evaluates their performance on complex tasks like manipulating objects or engaging in chase-tag. The primary users are robotics researchers, bioengineers, and control system developers focused on human-level dexterity and agility.

No commits in the last 6 months.

Use this if you are developing control algorithms for highly dexterous robotic systems or prosthetic devices and need to benchmark their performance against human-like movement challenges.

Not ideal if you are looking for an off-the-shelf solution for industrial automation or simple robotics tasks, as this focuses on advanced biomechanical simulation and control.

robotics-research prosthetics bioengineering motor-control dexterous-manipulation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 10 / 25

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26

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3

Language

Python

License

Last pushed

Oct 07, 2023

Commits (30d)

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