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GPS codebase for NASA Superball tensegrity robot

License: Other

Shell 1.24% Python 83.49% CMake 0.60% C++ 14.42% Protocol Buffer 0.25%

gps_superball_public's Introduction

GPS on SUPERball

This code is a reimplementation of the guided policy search algorithm and LQG-based trajectory optimization, meant to help others understand, reuse, and build upon existing work.

This particular fork of the main repository contains the implementation of mirror descent guided policy search applied to the SUPERball tensegrity robot. More details can be found on the project website. Files of interest include the following:

For full documentation, see rll.berkeley.edu/gps.

The code base is a work in progress. See the FAQ for information on planned future additions to the code.

gps_superball_public's People

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caomw xiangshengcn lhl19950613 rvy11 guoyaq lsylusiyao

gps_superball_public's Issues

mujoco xml file

I cannot fine the mujoco file of the robot.
Can you tell me the place or the url to the file?

KeyError: 'FLANN_PATH'

hi，i meet some problems when run run_policy.py
raise KeyError(key) from None
KeyError: 'FLANN_PATH'

How can I configure it?

ImportError: No module named gps_agent_pkg.msg

Then I meet some problems again. Please forgive me, I just started to study ros soon.
ImportError: No module named gps_agent_pkg.msg

I try to export ../src/gps_agent_pkg but it doesn't work

Is it difficult for beginners to reproduce this?
Whether I still lack any knowledge, request advice

NTRT Simulation

Hello,
Is the code of the NTRT simulation used in the experiments publicly available?

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