Explore the world of robotics and unmanned systems through a comprehensive series of lectures and demonstrations. Dive into advanced topics such as modeling and simulating walking robots, implementing deep reinforcement learning, designing model-based control for humanoid walking, and programming robot swarms. Learn to simulate mobile robots, soccer robot behavior, pneumatic actuators, and throwing mechanisms. Master control design for various robotic systems, including manipulator joints, trajectory planning, and autonomous underwater vehicles. Gain practical skills in system identification, LQR control, and parameter estimation for bouncing balls. Discover how to leverage MATLAB® and Simulink® for Model-Based Design in robotics, with expert tips and tricks from MathWorks specialists and student teams.
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
