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Tactile-JEPA: Topology-Aware Self-Supervised Representation Learning for Distributed Tactile Sensors
Tactile-JEPA is a self‑supervised pre‑training technique that leverages the irregular graph layout of distributed tactile skins to learn richer representations. Experiments show it reduces force and orientation estimation errors and improves downstream policy learning across diverse sensor types.
Hugging Face Daily Papersarxiv.org1 minpaper
