Design a Pick and Place Robotics Application with MATLAB and Simulink

Robotics System Toolbox enables you to build kinematic chains or trees using rigid bodies to represent physical robots. You can add or modify bodies on a structure, specify joint limits, and replace bodies or joints. In addition, you can use forward kinematics to get transformations between two body frames and compute geometric Jacobians for specified end effectors for a given robot configuration.

In this webinar we demonstrate how to solve the pick and place problem with a robot manipulator. You can detect and recognize an object with a 3D camera and perform inverse kinematics and trajectory planning to execute a motion plan for the robot arm.

Learn how to:

• Model and simulate robotic manipulators in MATLAB and Simulink.
• Solve inverse kinematics problems.
• Use optimization to solve trajectory planning problems.
• Connect to an external robotics simulator to get sensor data.
• Use machine learning and computer vision to design an object detector and classifier.

About the Presenter

Carlos Santacruz-Rosero, Ph.D., is a Senior Application Engineer at MathWorks with more than 10 years of experience developing software for advanced robotics systems such as manipulators, full-sized humanoid robots, and autonomous navigation robots. Carlos is an expert at applying MATLAB and Simulink to the design of complex robotics systems. He works with MathWorks customers in the industrial automation, automotive, aerospace, and robotics industries. Carlos has presented in conferences in America, Europe, and Asia on advanced robotics design with MathWorks toolchain. Carlos holds a Ph.D. in Robotics from the University of Tokyo.