The Robotics Applications Conference from Robotics 24/7. October 18, 2023

Human-Machine Interface Session

The Virtual Conference is FREE.

How AI Is Improving and Expanding Automation

Artificial intelligence and automation have long been close cousins. With the advent of large language models (LLMs) like the one used with the famous ChatGPT, AI has leapfrogged ahead, and robotics is quickly catching up. In this session, we'll give you a peak behind the scenes to learn specific examples where LLMs are being used to improve robotic automation, including:

Improving human-machine interfaces where people and robots can communicate through a common language
Expanding the capabilities or robots through inference
Using generative AI to write software commands, training manuals, and product documentation, dramatically reducing the time it takes to bring new technology features to customers

Panelists

Dr. Randolph Voorhies,

co-founder and chief technology officer, inVia Robotics

Voorhies is is a technology and robotics expert. He leads the inVia engineering team that builds the AI-driven software at the core of the robotics system. This includes product development, customer technology/software support, and management of technology investment strategy.

Prior to inVia, Voorhies worked within NASA’s Jet Propulsion Laboratory during his Ph.D. program. He completed his Bachelor’s, Master’s and Ph.D. in computer science and robotics at the University of Southern California. Voorhies co-founded inVia Robotics in 2015 to apply intelligent automation to the e-commerce industry.

Dan Rosenstein,

group product manager, Advanced Autonomy and Applied Robotics, Microsoft

Rosenstein is a 24-year Microsoft veteran, having led a variety of teams in planning, developing, and designing cutting-edge technology in the IoT, robotics, and AI spaces. He has been infatuated with robots since he was a child and enjoys understanding all electro-mechanical systems and control systems.

Rosenstein completed his Bachelor’s in engineering and computer science at Washington University in St. Louis and his Master’s in robotics engineering at the University of Washington. His personal hobbies and professional interests all revolve around control systems, from electric DeLoreans and pinball to robots and toys.