This course teaches how to use MATLAB and Simulink for modeling, simulating, and controlling robots and unmanned vehicles. The learning outcomes include modeling and simulation of various types of robots, control design for robot systems, trajectory planning for robot manipulators, and system identification of underwater vehicles. The course covers skills such as programming robot swarms, simulating robot actuators, designing robot algorithms, and implementing control strategies. The teaching method involves a combination of expert insights, student team demonstrations, and practical tips. The intended audience for this course includes robotics enthusiasts, engineering students, researchers, and professionals looking to enhance their skills in robotics and autonomous systems.
Modeling, Simulation and Control - MATLAB and Simulink Robotics Arena
Overview
Syllabus
Modeling and Simulation of Walking Robots.
Walking Robot Pattern Generation.
Deep Reinforcement Learning for Walking Robots - MATLAB and Simulink Robotics Arena.
Model-Based Control of Humanoid Walking.
Simulating Mobile Robots with MATLAB and Simulink.
Programming Robot Swarms.
Programming Soccer Robot Behavior.
Simulating Pneumatic Robot Actuators.
Simulating Robot Throwing Mechanisms.
Control Design for Robot Throwing Systems.
Controlling Robot Manipulator Joints.
Trajectory Planning for Robot Manipulators.
System Identification of Blue Robotics Thrusters.
LQR Control of an Autonomous Underwater Vehicle - MATLAB and Simulink Robotics Arena.
Modeling and Simulation of an Autonomous Underwater Vehicle.
Estimating Bouncing Ball Contact Parameters.
Designing Robot Manipulator Algorithms.
Taught by
MATLAB
