Noah Wiederhold
Papers
3
Total Citations
11
H-Index
3
About
Noah Wiederhold is a rising researcher in human-robot interaction, with a focused expertise on the mechanics and preferences underlying handover tasks. His work bridges robotics, computer vision, and virtual reality to understand how humans naturally exchange objects—insights critical for designing robots that can hand items to people smoothly and intuitively. Wiederhold led the creation of the HOH (Human-Object-Human) Handover Dataset, a landmark resource featuring 136 objects, making it one of the largest and most diverse datasets for studying handover interactions. This dataset enables data-driven advances in robot handover implementation and AI-based parameter estimation. He also introduced VR-Hand-in-Hand, a novel virtual reality annotation tool that uses hand tracking for ground-truth labeling of complex hand-object interactions, significantly improving annotation efficiency and accuracy. His work on object handoff orientations further reveals how giver and receiver preferences shape successful handovers—a dimension previously missing from existing datasets. Though early in his career, Wiederhold’s contributions are already cited in key robotics and HRI venues, and his datasets and tools are poised to become foundational resources for the field.
Research Focus
Key Achievements
Top Papers
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