feat(project): Initialize UR16e pick and place project - #6258
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henry2craftman wants to merge 3 commits into
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feat(project): Initialize UR16e pick and place project#6258henry2craftman wants to merge 3 commits into
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This is the initial commit for the UR16e pick and place project using Unity ML-Agents. This project is built upon a clone of the standard Unity ML-Agents repository and introduces a specific implementation for training a UR16e robotic arm. Key additions in this commit: - UR16Agent: A new ML-Agent script (`UR16Agent.cs`) designed for the pick and place task. It defines the agent's observations, actions, and reward structure. - Unity Scene: The `UR16 agents.unity` scene, which contains the robot, target objects, and environment setup for training. - Documentation: Multilingual README files (`README.md` for English, `README.ko.md` for Korean) explaining the project's purpose, structure, and how to run it.
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Proposed change(s)
Description
This PR establishes the initial framework for the UR16e Pick and
Place project within the ML-Agents repository. It introduces the
core components required to train a UR16e robotic arm for a
pick-and-place task using reinforcement learning.
Key Changes
been added to manage the robot's learning process. It defines
the state observations, action space, and reward function
tailored for the pick-and-place task.
scene is included, featuring the UR16e robot, the target object,
and the necessary ML-Agents components for training and
inference.
documentation has been added in both English and Korean. The
READMEs explain the project's purpose, structure, and provide
clear instructions on how to get started and run the simulation.
Purpose
The goal of this PR is to formally initialize the project and
provide a solid foundation for future development and
experimentation with the UR16e robot. By adding the core logic
and documentation upfront, it makes the project accessible and
understandable for other contributors.
How to Test
compatible).
the new README files.
Vidoes
Useful links (Github issues, JIRA tickets, ML-Agents forum threads etc.)
Types of change(s)
Checklist
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