ROBOTICS: The era of AI and autonomy  

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Thanks to the technology advances and discoveries of the past few years, robots are becoming more sophisticated while the end users are becoming more demanding in terms of accuracy, speed, programmability, autonomy and more.

Collaborative robots hold the potential to increase productivity by up to 20 percent1

Robots are evolving into intelligent, autonomous machines that make decisions at the electromechanical edge leveraging the large quantity of data that is available. This massive amount of data is partially processed there, but is also integrated and analyzed in a larger cloud infrastructure.

75% of all data will be generated and processed at the edge2

This presents both opportunities and challenges for robot manufacturers and solution providers as they connect these two worlds.

Integrating more intelligence closer to the edge reduces the amount of data transfers. However, this requires traditional automation technology to be augmented with real-time AI.

  • How to build a solution designed to operate at the edge and easily connect to cloud environments?
  • What level of security is needed to prevent disruption of the industrial workflows?
  • Where are AI and Machine Learning (ML) coming into play in robotics applications?
  • What should you look for in your real-time technology stack in order to make real-time AI systems possible?

Speaker:

Michel Chabroux, Sr. Director, Product Management, Wind River

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