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kinematics, newton-euler dynamics and centralized/decentralized control of a KUKA robotic gripper -- up next safe reinforcement learning with optimistic exploration instead of trajectory planning. 2019
A centralized deep reinforcement learning framework for adaptive urban traffic signal control, leveraging simulation-based environments to minimize congestion and optimize traffic flow.
🚀 Implement controllers for a two-joint manipulator using adaptive, robust, and various MPC methods in MATLAB/Simulink for enhanced control solutions.