Smart Factory: Autonomous Industrial Robots from Perception to Motion

Advanced robotics systems are core in the factory of the future. Designing autonomous robotics systems requires knowledge and experience in many engineering domains, including mechanical design, perception, decision making, control design, and embedded systems. In this talk, you’ll hear about a complete autonomous workflow that allows engineers to easily learn and apply the many functional domains of robotics. You will also learn about the key features that enable engineers to develop an end-to-end workflow from perception to motion for industrial robot application designs. Some additional topics you’ll gain insight on include:

• Performing scalable physics simulations
• Designing perception algorithms using computer vision and deep learning
• Setting up co-simulation with sensor and environment models
• Using motion planning for obstacle avoidance
• Achieving advanced control via reinforcement learning
• Connecting hardware through ROS network and deployment