Smart Robotic Quadruped: Using Machine Learning for Optimization and Control

Smart Robotic Quadruped project focuses on applying machine learning to optimize parameters and control a robotic quadruped. The team tackles hardware challenges such as voltage, power, and torque, with backup plans in place. Software challenges include running simulations for learning and ensuring

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