Shaswat2001/maple-robotics
MAPLE (Model and Policy Learning Evaluation) - A unified CLI daemon for evaluating robotics policies across diverse simulation environments
This tool helps robotics engineers and researchers compare how different robot control policies perform across various simulation environments. You provide your robotics policies (like Vision-Language-Action models) and different simulation environments (like MuJoCo or PyBullet), and it outputs standardized evaluation results. This is for anyone developing or testing robot control policies who needs to assess their effectiveness systematically.
Available on PyPI.
Use this if you need a standardized, hassle-free way to evaluate how different robot control policies perform across various simulation environments without dealing with conflicting dependencies or custom integration code.
Not ideal if you are not working with robotics policy evaluation in simulation or if you require an integrated development environment rather than a command-line daemon.
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Language
Python
License
MIT
Category
Last pushed
Feb 17, 2026
Commits (30d)
0
Dependencies
16
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