Papers

5

Total Citations

92

H-Index

4

About

Dr. Calvin Kalun Or is a pioneering researcher at the intersection of human-robot interaction, virtual reality, and wearable robotics, with a particular focus on safety and user-centered design. His foundational work established critical benchmarks for human-robot coexistence, including the seminal 2009 study on "Perception of safe robot idle time in virtual reality and real industrial environments" (53 citations), which quantified human tolerance thresholds essential for designing safer industrial robots. This was complemented by his earlier investigation into safe robot speed perception (18 citations), which demonstrated how dynamic virtual objects influence operator acceptance in industrial settings. More recently, Dr. Or has advanced the field of wearable robotics through innovative approaches to robotic gloves, where his 2024 work (11 citations) revealed the previously overlooked importance of skin movement dynamics during finger flexion—a breakthrough that promises more natural and comfortable assistive devices. His transdisciplinary "User-Centric Co-Creation (UC3)" framework (2023, 4 citations) exemplifies his commitment to developing intelligent wearable robots for elderly assistance through direct stakeholder engagement. Additionally, his work on learning autonomous viewpoint adjustment from human demonstrations (2024, 6 citations) addresses critical challenges in telemanipulation by decoupling camera views from robot arm motion. With over 92 combined citations across his most influential works, Dr. Or continues to shape how robots safely and intuitively interact with humans in both industrial and assistive contexts.

Research Focus

Key Achievements

4
H-Index
5
Papers
92
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Perception of safe robot idle time in virtual reality and real industrial environments
53 citations · 2009
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: City University of Hong Kong, University of Wisconsin–Madison, University of Hong Kong

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago