3 papers
cs.RO2026
CoToGrasp: Contact-Topology-Conditioned Dexterous Grasp Synthesis via Canonical Workspace Learning
Julien Merand, Boris Meden, Liming Chen +1
Current dexterous grasp planners primarily optimize for physical stability, focusing on whether an object can be grasped rather than how it should be grasped to support downstream…
cs.RO2026
GOAG: Generative and Object-Agnostic Grasp Planner for Dexterous Robotic Manipulation
Julien Merand, Boris Meden, Mathieu Grossard +1
Multifingered grasping is a crucial robotic skill, but current deep-learning grasp planners often struggle to generalize to new objects because they are trained on limited, object-…
cs.RO2026
Reactive Slip Control in Multifingered Grasping: Hybrid Tactile Sensing and Internal-Force Optimization
Théo Ayral, Saifeddine Aloui, Mathieu Grossard
We build a low-level reflex control layer driven by fast tactile feedback for multifinger grasp stabilization. Our hybrid approach combines learned tactile slip detection with mode…