PietroVitiello/ActionRepresentation
MSc Project aimed at finding an alternative way of representing robot actions. We evaluate several machine learning models to control a simulated 7-joint robotic arm using solely a wrist mounted camera as input.
This project offers a new way for engineers and researchers to train robotic arms using visual input. It takes camera images from a robot's wrist and outputs instructions for the arm to perform actions like grasping objects. The intended users are robotics engineers and AI researchers focused on robot learning and automation.
No commits in the last 6 months.
Use this if you are exploring novel visual-based control methods for robotic arms, especially in simulated environments, and want to experiment with different action representations.
Not ideal if you need to deploy solutions directly onto physical robots or require real-time control in complex, unstructured industrial settings.
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13
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1
Language
Python
License
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Last pushed
Sep 09, 2022
Commits (30d)
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