Short papers
4 pages + references
Machine Learning/CORE Unranked
IROS 2026
IROS 2026 Workshop, "Small Data, Rich Sensing: Multimodal Learning for Robotic Manipulation"
The Small Data, Rich Sensing workshop at CoRL 2026 explores how multimodal sensing—beyond vision—is essential for robotic manipulation in contact-rich environments. It brings together researchers to investigate the minimal additional sensing and modeling required to bridge the sensory gap where vision-only foundation models fail under real-world physical constraints.
Key deadlines
Verified September 9, 2026Full paper
September 6, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
September 6, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Extended abstracts
2 pages
Research areas in scope
01
Foundation Models & VLA
Vision–language–action and foundation-model pipelines for manipulationFailure-mode taxonomies for vision-only policies under contact, friction, compliance, and occlusionSensory sufficiency evaluation via principled ablations and capability-centric metrics (success, robustness, recovery, and safety)
02
Rich Sensing
Tactile and haptic sensing, force/torque, proprioception, and audio for contact-rich interactionSensor design, simulation, and calibrationIdentifying when non-visual signals change capability—not just accuracy
03
Multimodal Learning & Control
Multimodal fusion and representation learningContact-aware control interfacesUncertainty estimation and recovery under limited real-world dataEvaluation protocols, reproducible benchmarks, and negative/ablation results
Policies worth checking twice
- Submissions must be on topics including multimodal sensing for manipulation, foundation models for contact-rich tasks, tactile/haptic perception, force/torque estimation, multimodal fusion, contact-aware control, and evaluation protocols for sensory sufficiency
- Works-in-progress, ablation studies, negative results, and system papers with reproducible artifacts (datasets, protocols, benchmarks) are welcomed
- Accepted contributions will be presented as posters with optional lightning talks
- Submissions must be made via OpenReview
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026