CoRL 2026 workshop on uncertainty in robotic world models, Sept 30 deadline
Majumdar_Ani · x · 2026-11-09
A CoRL 2026 workshop, Modeling Uncertainty in Robotic World Models, will run Nov 12, 2-6pm in Austin, Texas, with papers due Sept 30, 2026.
- Focus: learned world models now drive robot planning, policy simulation, and reward modeling, but poorly represent noisy sensors, partial observability, and distribution shift; the workshop explores which uncertainty representations scale to high-dimensional latent spaces, how uncertainty propagates into planning and RL, and needed benchmarks
- Invited speakers: Leslie Kaelbling (MIT), Anirudha Majumdar (Princeton/Google DeepMind), Panpan Cai (SJTU), Chenhao Li (ETH Zurich/Google DeepMind)
- Organizing committee includes Nicholas Roy, Julie Shah, Yann LeCun, Yilun Du, and others
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