UW AI & Robotics Data Summit
Scaling Up Data in Robot Learning
Uniting professors, founders, and engineers to solve the scaling challenge in robotics.
Together with NVIDIA Robotics Lab Researcher Binghao Huang (🥭Mango-Man), Lightwheel Steve Xie, HawkRobo Brian Vogus, Daxo Robotics Tom Zhang, and, they will uncover next-generation paradigms in data-driven robot learning.
Invited Speakers Include:
Professors in the field of robotics(To be announced)
Special Guests from Industry (To be announced)
Andy Peng, AWS Bedrock / NeurIPS25 Co-Chair
Xu Chen, Associate Professor@University of Washington
Binghao Huang, PHD@Columbia University & Work@ NVIDIA Seattle Robotics Lab
Steve Xie, Lightwheel https://www.nvidia.com/en-us/customer-stories/lightwheel/
Tom Zhang, Daxo Robotics https://daxo-robotics.com/
Neil Moffatt, HawkRobo https://hawkrobo.com
Reserve your spot now and seize the opportunity at the golden window of scalable robot learning!
Ideal for robotics engineers/researchers, Industry leads/engineers, PHD students and deep tech investors.
Explorers who are seeking to address real industrial needs with robots and robotic dogs, and dedicated robotics enthusiasts.
Agenda (TBD)
1:00 PM – Registration, Networking & Interactive Demos
1:30 PM – Opening Remarks & Vision Setting (30 minutes)
2:00 PM – Keynote Session: Frontiers in Robotic Perception & Learning(1hour): [Secret Professor]
3:00 PM – Virtual Keynote (20 min)
Binghao Huang (Columbia University) Virtual Demo Walkthrough: advanced tactile sensors and robotic hands.
3:20 PM – Coffee & Connection Break (20 min)
3:40 PM – Startup Spotlight: From Lab to Market （1 hour）
Rapid-fire pitches from leading robotics innovators:
Lightwheel (Steve Xie)
Daxo Robotics (Tom Zhang)
HawkRobo (Neil Moffatt)
Mystery Industry Speaker
4:40 PM – TBD (20 min)
5:10 PM – Keynote (30 min)
Boeing - R&D, Challenge, AI/Robotics adoption（30min）
5:00 PM – Keynote (20 min)
AWS – （20min）
5:40 PM – Concluding Remarks & Call to Action (30 min)
Prof. Xu Chen: Summary of key insights and an invitation to collaborate on open challenges. Call for papers.
6:10 PM – Evening Networking Reception & Extended Demos
Continue the conversation over light refreshments.
Demo stations remain active.
Onsite Exclusive: Guided tours of labs : BARC and etc.
Why You Should Attend:
See the Future: Experience live, hands-on demos of robots that are defining the next decade of automation.
Connect with Pioneers: Engage with top academics building the algorithms and industry leaders deploying them in the real world.
Solve Hard Problems: Dive deep into the critical discussions around data—the most significant challenge in scaling robot learning.
Speaker Bios
Binghao Huang: Ph.D. student in Computer Science at Columbia University, advised by Prof. Yunzhu Li. His research focuses on robot learning, with a specialization in dexterous manipulation and multi-modal perception for robotics. Binghao has further enriched his expertise through practical experience at the NVIDIA Seattle Robotics Lab, bridging the gap between cutting-edge academic research and industry-scale application.
Dr. Steve Xie: the Founder and CEO of Lightwheel, a company building next-generation simulation and synthetic data infrastructure to power the future of embodied AI. Under his leadership, Lightwheel partners with leading organizations like NVIDIA, DeepMind, Figure, and Stanford University to accelerate robotics research and deployment. Steve is a recognized expert in the field, having previously pioneered autonomous driving simulation platforms at both NVIDIA and Cruise. There, he architected large-scale synthetic data pipelines that set new industry benchmarks for realism and effective Sim2Real transfer. He holds a Ph.D. from Columbia University and a B.S. in Physics from Peking University.
Tom Zhang: the Founder and CEO of Daxo Robotics, a company revolutionizing robotics through the development of ultra-redundant, high-dimensional robotic hands powered by hundreds of actuators. His vision is rooted in deep technical expertise; he earned his Ph.D. in Computer and Information Science from the University of Pennsylvania's renowned GRASP Lab, where his research focused on novel robot modeling at the intersection of AI and complex dynamical systems. Before founding Daxo, Tom accumulated extensive industry experience at iRobot, Uber's Advanced Technologies Group (ATG), and Rapyuta Robotics. He is a dual-degree graduate of Cornell University, holding a Bachelor's in both Mechanical Engineering and Computer Science.
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Questions? Contact: Zoe Li xli431@uw.edu