Poster papers
Accepted contributions presented as posters during the workshop; 19 papers were accepted, with titles linking to OpenReview submissions.
Security/CORE Unranked
From Perception to Action 2026
RSS 2026 Workshop on From Perception to Action: Representation-Centric Robot Autonomy
The From Perception to Action 2026 workshop, held at RSS 2026, explores representation-centric approaches to robot autonomy, focusing on how geometric, probabilistic, dense, implicit, and learned representations impact perception, mapping, planning, and decision-making in robotic systems. It brings together researchers from SLAM, perception, learning, and navigation to evaluate trade-offs among representations like occupancy maps, neural fields, and Gaussian splatting, aiming to bridge classical and data-driven methods for robust closed-loop autonomy.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Research areas in scope
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Representation-Centric Robot Autonomy
Geometric representationsProbabilistic representationsDense representationsImplicit representationsLearned representationsOccupancy mapsSigned distance fieldsGaussian splattingNeural fieldsSLAMPerceptionPlanningLearningManipulationAutonomous navigationLocalizationExploration
Policies worth checking twice
- The workshop is non-archival.
- Titles link to OpenReview submissions for the corresponding paper submissions.
- Author names are shown as provided by the submitting authors.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026