Physical Geometry
3D/4D reconstruction, articulated and deformable scene understanding, geometry-aware world models, and physically grounded view synthesis.
NeurIPS 2026 Workshop | Atlanta, Georgia
Physical World AI: Geometry, Characteristics, and Multimodal Sensing
From structure to material properties and non-RGB sensing
3D/4D reconstruction, articulated and deformable scene understanding, geometry-aware world models, and physically grounded view synthesis.
Material and physical property estimation, mass, friction, stiffness, elasticity, deformability, affordances, contact-rich interaction, differentiable simulation, and generative models of physical dynamics.
Multimodal sensing and fusion with tactile, force/torque, proprioceptive, RF, audio, depth, IMU, and event-based signals.
Embodied world models, robot manipulation, sim-to-real transfer, multimodal simulators, benchmarks, datasets, evaluation protocols, and responsible deployment.
Submission, review, and publication policy
Submissions for the NeurIPS 2026 workshop are closed.
Sponsor support for the workshop
CyberBrain and 2077AI support the workshop.