Developing Industrial Robotics Systems Using MATLAB and Simulink | MATLAB Oil and Gas Conference 2019

Growth in the adoption of robotics and autonomous systems (RAS) is exploding across a huge segment of industries from industrial manufacturing to consumer products. This talk demonstrates new features in MATLAB^® and Simulink^® for the different functional domains of robotics and autonomous systems, including hardware design, sensing, perception, planning and decision making, control design, and deployment. It describes the challenges of autonomous system development and walks through a common robotics and autonomous systems workflow using Robot Arm 2.0. Some of the topics that will be covered include:

• Developing kinematic and dynamic models of robots
• Perception algorithm design using deep learning
• Multi-sensor fusion for accurate localization
• Gazebo co-simulation for sensor models and environment simulation
• Path planning with obstacle avoidance
• Supervisory logic and control using Stateflow^®