TACTFUL introduces a vision-free tactile policy for robotic exploration and object identification in confined workspaces, trained on real hardware and achieving 77% success with 0.015 m reconstruction error.
Efficient and scalable point cloud gen- eration with sparse point-voxel diffusion models,
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TACTFUL: Tactile-Driven Exploration For Object Localization and Identification in Confined Environments
TACTFUL introduces a vision-free tactile policy for robotic exploration and object identification in confined workspaces, trained on real hardware and achieving 77% success with 0.015 m reconstruction error.