etriantafyllidis/ROMAN
The RObotic MAnipulation Network
This project helps robotics engineers and researchers simulate and train robotic arms for complex, sequential manipulation tasks. It takes human demonstrations or defined training scenarios as input and outputs trained neural network models that can control robotic grippers to perform actions like picking and placing objects. It's designed for those developing or evaluating robotic manipulation systems.
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Use this if you need to simulate, validate, or train a robotic arm, specifically a Franka Panda, to perform a series of coordinated actions within a controlled environment.
Not ideal if you are looking for a plug-and-play solution for a physical robot or do not have experience with Unity3D and reinforcement learning concepts.
Stars
40
Forks
8
Language
C#
License
GPL-3.0
Category
Last pushed
Jun 20, 2023
Commits (30d)
0
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