October 20, 2022

Over the last 50 years, machines have changed dramatically, becoming more autonomous, intelligent and mobile than ever before. In short, today’s machines do more with less human supervision. They’re also increasingly connected, both to the Internet and to other machines and devices.

In light of these changes, society needs to reevaluate our understanding of what it means to safely deploy machines, especially in scenarios where they will work closely with people. The safety measures of the past, when machines were bolted down, caged, or controlled by wired systems, are not suited for the age of autonomy. Robotics systems and smart machines need a new approach to safety— one that includes cybersecurity as a primary consideration.
In this session, FORT CTO Nathan Bivans will discuss:

– The convergence of IT and OT
– Cybersecurity threats in OT environments
– Best practices for mitigating safety and security risks

AI, including machine learning and deep ;earning, is increasingly impacting our personal lives, and the use of AI-powered robots in manufacturing facilities, power plants, warehouses, and other industrial sites also continues to expand. Warehouse bin-picking provides just one example. In an e-commerce fulfillment warehouse, human workers need to pick and place millions of different products into boxes based on customer requirements. Deep learning and reinforcement learning now enables robots to learn to handle various objects with minimum help from humans. In this session, YJ Lim, Senior Technical Product Manager of Robotics and Autonomous Systems at MathWorks, will describe how to empower robotics systems using deep learning and reinforcement learning for perception and motion control in autonomous robotics applications including robot manipulators, autonomous mobile robots, and UAVs.