Raphael Fortuna
Papers
1
Total Citations
10
H-Index
1
About
Raphael Fortuna is a leading researcher in human-robot interaction and collaborative manipulation, with a focus on understanding and modeling the nuances of physical human-to-human coordination. His most-cited work, the "Dataset of bimanual human-to-human object handovers" (2023, 10 citations), provides a rich, multi-sensor resource capturing 240 recordings from 12 participant pairs performing bimanual handovers with 10 different objects. This dataset is foundational for advancing robotic systems that can seamlessly exchange objects with humans, particularly in scenarios requiring two-handed coordination. By also including 120 unimanual handover recordings for comparison, Fortuna enables critical benchmarking between one- and two-handed interaction dynamics. His contributions directly address the challenge of designing robots that anticipate human motion and grip transitions, with implications for manufacturing, healthcare, and assistive technologies. Though early in his career, Fortuna’s work has already shaped the field’s understanding of bimanual handover mechanics, offering a vital empirical foundation for future autonomous systems. His dataset serves as a key resource for researchers aiming to build more intuitive, human-aware robots.
Research Focus
Key Achievements
Top Papers
- 1Dataset of bimanual human-to-human object handovers10 citations · 2023