Extended abstract
2–4-page extended abstract
Machine Learning/CORE Unranked
UncertainWM 2026
CoRL 2026 Modeling Uncertainty in Robotic World Models Workshop
The UncertainWM 2026 workshop, co-located with CoRL 2026 in Austin, Texas, brings together researchers to address the challenge of modeling uncertainty in robotic world models. It focuses on scaling uncertainty representation, quantification, and propagation to high-dimensional latent spaces used in modern learned dynamics models, with the goal of enabling reliable deployment of robots in unstructured real-world environments.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Paper
4–8-page paper
Research areas in scope
01
Areas of Interest
Robotic world models and learned dynamics modelsUncertainty representation, quantification, decomposition, and calibrationAleatoric and epistemic uncertainty in robot learningPartial observability, state estimation, and belief-space planningModel-based reinforcement learning and uncertainty-aware planningConformal prediction and distribution-free uncertainty methods for roboticsOut-of-distribution detection, generalization, and robustnessLatent representation learning under uncertaintyGenerative world models, video prediction, and prediction reliabilityPropagation of model uncertainty into planning, control, and decision-makingRisk-sensitive, robust, and safe autonomyHuman-aware world models, goal inference, and human-robot interactionMulti-agent world models, coordination, and alignment under uncertaintyData collection and learning under uncertain or sparse observationsComputationally tractable uncertainty-aware modelingBenchmarks, datasets, evaluation metrics, and real-world deployment studies
Policies worth checking twice
- Submissions must be anonymized.
- The review process will be double-blind.
- Accepted submissions will be invited for a poster presentation at the workshop.
- Published work and work submitted concurrently to other conferences or workshops, including CoRL and IROS, are welcome.
- Accepted submissions will be made available on the workshop website as non-archival reports, allowing subsequent submission to conferences and journals.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026