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Learn how physical AI is being used to do real work at RoboBusiness

By The Robot Report Staff | September 1, 2026

From left to right: Bhavana Chandrashekhar, James Davidson, and Michael Vogelsong, who will discuss physical AI at RoboBusiness 2026.

From left to right: Bhavana Chandrashekhar, James Davidson, and Michael Vogelsong.

Everyone is talking about AI, inside and outside of robotics. While physical AI efforts bring in tens of millions of dollars in funding, the question remains: What is physical AI doing in the real world today?

At RoboBusiness 2026, which takes place Oct. 20 and 21 in Santa Clara, Calif., robotics experts will discuss this topic in the keynote panel “Beyond the Demo: AI in Production Robots.” The session will be at 4:30 p.m. PT on the first day of the show.

Hear from leaders at Amazon Robotics, Teradyne Robotics, and Cobot as they discuss how they’re applying AI to robots operating in real customer environments. From perception and autonomy to fleet optimization, maintenance, and software updates, learn what it takes to build physical AI that is reliable, scalable, and delivers measurable business value.

Meet the physical AI experts

The speakers who will help close out Day 1 of RoboBusiness include:

  • Bhavana Chandrashekhar is a senior manager of applied science at Amazon Robotics based in Seattle. She manages a team of applied scientists, engineers, and managers building autonomous manipulators for Amazon warehouses. Chandrashekhar’s stated mission is to build AI-powered robots that augment the workforce performing physically demanding tasks autonomously. Her research interests include robotic vision, machine learning, robotic software, and task planning. Some flagship robots she has built include Robin, which has picked several billion packages, and Vulcan Stow, which has stowed over a million items. Chandrashekhar will also speak at the Women in Robotics Lunch.
  • James Davidson is the chief AI officer at Teradyne Robotics, where he leads the integration of AI across collaborative and autonomous mobile robots (AMRs), including Universal Robots and Mobile Industrial Robots. In this role, Davidson shapes the AI strategy driving the next generation of intelligent, adaptable, and human-centric automation. With more than two decades of experience across AI research, robotics, and applied engineering, he brings a unique blend of deep technical expertise and commercial execution.
  • Michael Vogelsong leads the Foundation Models AI team at Cobot, primarily focused on robotic manipulation. He previously started the Deep Learning Technologies team at Amazon, developing and deploying machine learning (ML) and AI for the company’s search engine, visual search, Alexa, and robotic manipulation. He also was chief ML engineer at Groundlight and led ML development for a personalized cancer treatment that is now in a Phase I clinical trial.

Register now for RoboBusiness 2026

RoboBusiness 2026 is the leading event for commercial robotics developers. Attendees will gain the latest insights from experts in robotics and AI on cutting-edge research, industry trends, and innovative applications in sectors such as manufacturing, healthcare, agriculture, logistics, and more.

The show also features a number of networking opportunities to give attendees the chance to connect with other experts in the industry. This will include the Mix and Mingle reception on the first day of the show.

Buy your full conference pass and gain full access to all keynotes, technical sessions, networking receptions, and special events. Discounts are also available for academia, associations, and corporate groups. Please email events[at]arrowfly.com for more details about our discount programs.

For information about sponsorship and exhibition opportunities, download the prospectus. Questions regarding sponsorship opportunities should be directed to Colleen Sepich at csepich[AT]arrowfly.com.


SITE AD for the 2026 RoboBusiness call for speakersRegister now and save on your pass to RoboBusiness 2026

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    • Human Robot Interaction / Haptics
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