Papers

28

Total Citations

455

H-Index

13

About

Jonathan Eden is a robotics researcher whose work spans cable-driven parallel robots, human-robot interaction, and physical assistance systems. His foundational contributions to cable-driven robot (CDR) research include developing CASPR, a comprehensive simulation platform that has become an essential tool for the field, accumulating 47 citations since its 2016 introduction. His generalized ray-based workspace analysis methods and musculoskeletal modeling work — applying CDR frameworks to human shoulder biomechanics — further cemented his reputation as a leading theorist in robotic workspace characterization, with those papers drawing 45 and 43 citations respectively. Eden's research has increasingly focused on the human side of human-robot systems. He has investigated how people interact with supernumerary robotic limbs and teleoperation interfaces, demonstrating in influential studies that humans prefer robotic over unpredictable human partners for motion assistance, and that reactive partners outperform passive guidance in motor learning contexts. His work on haptic communication, including findings that short time delays do not undermine collaborative benefits, has important implications for telemedicine and remote robotics. With over 300 cumulative citations across his most-recognized papers, Eden's cross-disciplinary contributions bridge mechanical modeling, cognitive science, and assistive robotics in ways that meaningfully advance both fields.

Research Focus

Key Achievements

13
H-Index
28
Papers
455
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
CASPR: A comprehensive cable-robot analysis and simulation platform for the research of cable-driven parallel robots
47 citations · 2016
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: University of Melbourne, Imperial College London, Chinese University of Hong Kong

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago