CoRL 2026 will put robot learning's founder pipeline in Austin this November

2026-11-09 · Austin

JW Marriott Austin

110 E 2nd St, 78701

CoRL 2026 convenes in Austin at the JW Marriott Austin, gathering leading robotics researchers, founders, and industrial AI labs for four days of technical sessions.

CoRL 2026 is the Conference on Robot Learning, bringing together robotics researchers, founders, and industrial AI labs in Austin. Chaired by Yuke Zhu and Peter Stone, the event covers robot foundation models, real-robot reinforcement learning, imitation learning, world models, and safety. The four-day conference features workshops, keynote speakers, and poster sessions.

Founder brief

Who should attend

Founders building in machine learning, autonomy, and physical hardware will gain direct exposure to cutting-edge research. It offers high value if your company relies on imitation learning, real-robot reinforcement learning, robot foundation models, world models, or operational safety.

What happens

Proceedings open on November 9 with dedicated workshops, followed by three days covering the main conference through November 12. Attendees can participate in technical keynote addresses, track sessions, and interactive poster presentations focused on current robotics breakthroughs.

Who's in the room

Chaired by Yuke Zhu and Peter Stone, the venue brings together top researchers and specialists from industrial labs. Keynote speakers include Fei-Fei Li, Dieter Fox, Ken Goldberg, Russ Tedrake, Ani Majumdar, Georgia Chalvatzaki, and Wolfram Burgard.

How to prepare

Review recently published literature on robot foundation models and reinforcement learning to engage deeply during poster sessions. Come ready to discuss your platform's concrete engineering hurdles with academic specialists and industry peers during workshop breaks.

Organizer: Robot Learning Foundation

Register

At a glance

Sectors
Ai ml, Hardware

Agenda

  1. Nov 9 · Workshops
  2. Nov 10-12 · Main Conference

Speakers, judges and hosts

  • Ani Majumdar — Princeton (Speaker)
  • Dieter Fox — University of Washington / AI2 (Speaker)
  • Fei-Fei Li — Stanford / World Labs (Speaker)
  • Georgia Chalvatzaki — TU Darmstadt (Speaker)
  • Ken Goldberg — President, UC Berkeley (Speaker)
  • Peter Stone — Chair / Chief Scientist, University of Texas at Austin / Sony AI (Speaker)
  • Russ Tedrake — MIT (Speaker)
  • Wolfram Burgard — University of Technology Nuremberg (Speaker)
  • Yuke Zhu — Associate Professor / Director and Distinguished Research Scientist, University of Texas at Austin / NVIDIA Research (Speaker)

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