3 accepted papers
We study human perceptions of a robot that performs robot-to-human (R2H) handovers controlled to grasp, transport, and transfer 34 objects by mimicking human givers in human-human (H2H) handover data. Recognizing the importance of human-like robotic behavior for successful collaboration, R2H studies
Automated shape repair approaches currently lack access to datasets that describe real-world damaged geometry. We present Fantastic Breaks (and Where to Find Them: https://terascale-all-sensing-research-studio.github.io/FantasticBreaks), a dataset containing scanned, waterproofed, and cleaned 3D mes…
"We present DeepMend, a novel approach to reconstruct restorations to fractured shapes using learned occupancy functions. Existing shape repair approaches predict low-resolution voxelized restorations or smooth restorations, or require symmetries or access to a pre-existing complete oracle. We repre…