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cs.RO2026
ContactKernels: Adaptive Proposals using Geometry-COnditioned Wrenches for Contact-Rich Manipulation
Aditya Kamireddypalli, Matías Mattamala, João Moura +3
Contact-rich insertion requires precise geometric alignment despite uncertainty in perception, geometry, and con- trol. When this uncertainty causes unintended contact, the re- sul…
cs.RO2026
BayesContact: Uncertain Pose Estimation via Visuo-Tactile Proposals and Simulation-based Inference
Aditya Kamireddypalli, Matias Mattamala, Joao Moura +3
Contact-rich manipulation requires pose estimates that are often more accurate than what depth-only sensing provides. Existing methods, relying on vision and contact, employ costly…
cs.RO2026
Amortising Trajectory Optimisation for Residual MPC via Implicit Contact Differentiation
Daniel Layeghi, Thomas Corbères, Calum Arnott +4
Differentiable simulation can accelerate contact-rich trajectory optimisation by exposing local sensitivities of task outcomes to controls. Existing approaches either use finite di…