To ensure we have enough food for everyone, each attendee must register in advance.
Parking is available nearby in Visitor Area 5, State St. NW, Atlanta, GA 30332. Please bring your parking ticket with you for validation. Use this address for GPS: State St. NW., Atlanta, GA 30332
There is no cost to attend this event.
If you would like more information on our program, including how to join, please visit our webpage.
Registration closes Friday, November 27, 2026
8:30 a.m. - 9:00 a.m. Registration (continental breakfast)
9:00 a.m. - 9:15 a.m. Welcome & Overview (Greg Sawicki)
9:15 a.m. - 10:45 a.m Research and Industry Presentations:
Discussions will focus on emerging research directions, opportunities for collaboration, funding and proposal development, technology transfer, workforce development efforts, and industry engagement strategies.
• Sam Coogan – Safety for Physical AI
• Lu Gan - Physical AI in Unstructured Environments
• Dennis Siedlak, Slip Robotics - Physical AI in Industry
10:45 a.m – 11:00 a.m. Break
11:00 a.m. - 12:00 p.m. Keynote: Yashraj "Yash" Narang, NVIDIA
12:15 p.m. - 1:30 p.m. Networking Lunch
1:30 - 2:15 Has AI Solved Industrial Robotics Discussion
• Animesh Garg - Has AI Solved Industrial Robotics?
• Stephen Balakirsky - GTRI
• Kevin DeMarco - RIF Robotics - Does Physical AI Work in real world?
2:15 p.m. - 3:00 p.m Has AI Solved Robotics?
Foundation models have made tremendous progress in improving robot capabilities, generalizing to new environments and solving some tasks zero-shot. Will learned models solve robotics in the manufacturing space in the near future. In this panel, academics and industry representatives will debate the future of AI and robotics.
Moderator: Gary McMurray
Panelists
• Animesh Garg
• Stephen Balakirsky
• Kevin DeMarco
3:00 p.m. – 4:30 p.m. Poster Session (*Graduate Student Only)
8:30 a.m. - 9:00 a.m. Registration
9:00 a.m. - 9:30 a.m. Welcome & Overview
9:30 a.m. - 11:30 a.m. Industry & Student Mixer (Speed Networking)
Interested in working at the Advanced Manufacturing Pilot Facility (AMPF)?
We’re hiring student research assistants for a number of Spring 2027 projects. These positions are open to undergraduate and M.S. non-thesis students. During the information session you will learn about the available projects and get the information to apply.
You must attend one of our two information sessions at the AMPF (555 14th Street NW) to be eligible for a position; we will take attendance at these sessions
Please fill out the form linked above if you plan to attend an info attend so we have your details and an accurate headcount. If you know of another student who may have interest in working as a research assistant at the AMPF, please feel free to forward.
Interested in working at the Advanced Manufacturing Pilot Facility (AMPF)?
We’re hiring student research assistants for a number of Spring 2027 projects. These positions are open to undergraduate and M.S. non-thesis students. During the information session you will learn about the available projects and get the information to apply.
You must attend one of our two information sessions at the AMPF (555 14th Street NW) to be eligible for a position; we will take attendance at these sessions
Please fill out the form linked above if you plan to attend an info attend so we have your details and an accurate headcount. If you know of another student who may have interest in working as a research assistant at the AMPF, please feel free to forward.
Bio: Jeremy D. Brown is the John C. Malone Associate Professor in the Department of Mechanical Engineering at Johns Hopkins University and the Solomon H. Snyder Department of Neuroscience at the Johns Hopkins School of Medicine. He is also a member of the Laboratory for Computational Sensing and Robotics (LCSR) and the Malone Center for Engineering in Healthcare. Prior to joining Hopkins, Jeremy was a Postdoctoral Research Fellow at the University of Pennsylvania in the Haptics Research Group, which is part of Penn’s General Robotics, Automation, Sensing, and Perception (GRASP) Laboratory. He received his M.S. and Ph.D. degrees in Mechanical Engineering at the University of Michigan. He also holds B.S. degrees in Applied Physics and Mechanical Engineering from Morehouse College and the University of Michigan, respectively, as a graduate of the Atlanta University Center’s Dual Degree Engineering Program. Jeremy directs the Haptics and Medical Robotics (HAMR) Laboratory, whose research focuses on human-robot interaction and haptic feedback, with applications in upper-limb prosthetics, robot-assisted surgery, and rehabilitation. By integrating human perception, motor control, and biomechanics, his work advances the design of intuitive and effective human-machine interfaces. He has been honored to receive several awards, including the NIH R21 Trailblazer Award, the IEEE RAS Technical Committee on Haptics Early CAREER Award, the NSF CRII Award, the NSF CAREER Award, and the Sloan Foundation Fellowship. He was also named a scholar to the NIH funded Interdisciplinary Rehabilitation Engineering Career Development Program (IREK-12). He is a member of the Institute of Electrical and Electronics Engineers’ (IEEE) Robotics and Automation Society, the American Society of Mechanical Engineers (ASME), and the National Society of Black Engineers (NSBE). Brown’s work has appeared in several peer-reviewed journals and news outlets, including Nature Scientific Reports, the Journal of Neuroengineering and Rehabilitation, IEEE Transactions on Haptics, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, the IEEE Transactions on Medical Robotics and Bionics, Forbes, and The New York Times.
]]>]]>
Bio: Enric Boix-Adsera is an assistant professor of statistics and data science. His parents are originally from Barcelona, and he grew up mostly in Princeton, New Jersey. Before coming to Wharton, he earned a doctorate in electrical engineering and computer science from MIT.
Boix-Adsera studies the learning processes of artificial intelligence models, such as ChatGPT, with the goal of improving their efficiency and reliability.
All Seminars Held 12pm - 1pm in CODA
]]>