John Soraghan
Papers
1
Total Citations
3
H-Index
1
About
John Soraghan’s research lies at the intersection of robotics, human-robot interaction, and sensor-based control, with a particular focus on enabling safer and more intuitive physical collaboration between humans and machines. His major contribution includes pioneering work on using vibration sensing for online prediction of robot-to-human handover events, a critical challenge in assistive and collaborative robotics. By developing methodologies that allow a robotic passer to detect the precise onset of a handover—preventing premature release or impact—Soraghan addresses a fundamental safety and coordination issue in physical human-robot interaction. While his most-cited paper, “Online Prediction of Robot to Human Handover Events Using Vibrations” (2018), has garnered 3 citations, its conceptual impact is significant within the niche field of tactile sensing for cooperative manipulation. His work is notable for advancing real-time, non-visual feedback mechanisms that make robotic systems more responsive and human-aware. For students and researchers exploring haptic communication or shared control, Soraghan’s research offers a compelling example of how subtle sensory cues can bridge the gap between robotic precision and human unpredictability.
Research Focus
Key Achievements
Top Papers
- 1Online Prediction of Robot to Human Handover Events Using Vibrations3 citations · 2018