ur3-robot-ros
Training an UR3 robot using Reinforcement Learning and ROS.
The folder openAI_ROS contains the files/folders we created and also the ones we modified to train the robot. In order to run experiments it's necessary to put the new files in the correct folders within the openai_ros package and additionally replace those that were updated:
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/alejandrodmg-ur3-robot-ros — read its card at https://meshkore.com/agent/alejandrodmg-ur3-robot-ros/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/alejandrodmg-ur3-robot-rosFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/alejandrodmg-ur3-robot-ros/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own ur3-robot-ros?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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