Mohit Yadav
Mohit Yadav
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Deep Learning
AI agent to play the game of Ultimate-Tic-Tac-Toe.
Developed a human playable version of Ultimate Tic-Tac-Toe in Python. Created AI opponents based on MiniMax algorithm with Alpha-Beta pruning and Monte Carlo search for intelligent decision making.
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Real-time Human Pose Imitation on Baxter Robot
Utilized BlazePose for 3D human pose extraction, which was used to calculate essential joint angles to translate the pose on Baxter Robot in KinEval(a ROS like middleware system) simulation environment. Established real-time communication via Flask between Python script and KinEval. Implemented proportional controls in KinEval to allow smooth replication of human poses on Simulated Baxter Robot.
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