This course will introduce to students the skills and knowledge to analyze kinematics, dynamics of robotic systems and use it for control design.

2024年7月16日 · Admission requirements follow the general admission rules for aerospace and mechanical engineering graduate programs. For admission requirements, refer to Viterbi Graduate Degrees and Requirements at USC Viterbi School of Engineering.

2025年3月12日 · Terms Offered: FaSp Introduction to dynamics and control of robotic systems including Model Predictive Control (MPC), Quadratic Program (QP)-based nonlinear control and trajectory optimization.

Hossein Rastgoftar is currently an assistant professor in the Aerospace and Mechanical Engineering Department at the University of Arizona. Prior to this, he was an assistant professor of Mechanical Engineering at Villanova University and an adjunct assistant professor at the University of Michigan from 2020 to 2021.

A repository containing major contents, Homework assignments, and projects implemented for the AME-556 course. Simulating 3-D Quadrupedal Body Quadruped_simulation.mp4

Course project for AME 556 - Robot Dynamics and Control. This repo contains the code for our AME 556 course project. This project focuses on creating controllers for the Unitree A1 quadruped robot to do various tasks, including walking, running, climbing stairs, and navigating an obstacle course, using MATLAB Simscape.

AME 556 at the University of Southern California (USC) in Los Angeles, California. Introduction to dynamics and control of robotic systems including Model Predictive Control (MPC), Quadratic Program (QP)-based nonlinear control and trajectory optimization.

This course will introduce to students the skills and knowledge to analyze kinematics, dynamics of robotic systems and use it for control design.

3 天之前 · Two elective AME courses can be chosen in areas of specific interest to the student such as fluid mechanics, solid mechanics, robotics, controls and manufacturing. Information on the current approved courses that comprise these core and elective requirements is available from the department website ame.usc.edu .

Contribute to taracornwell/robotics development by creating an account on GitHub.