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Design and build a reliable open-source physical robotic platform for multi-agent learning and control research at an acceptable cost.
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Designed and built (with 3D printer) two kinds of mini-robots based on Arduino-like MCU, and NVIDIA Jetson.
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Implemented a very robust and precise localization and speed detection algorithm to perceive the environment information for the traffic planning. with a central camera, infrared cameras, and onboard tracking tags.
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Built the communication network among the controlling server, the central camera, and 20 mini-robots via ROS
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Transferred learning from simulations to this controlled robotic platform to validate the effectiveness of the Deep Reinforcement Learning based control design of Flow framework