Papers

11

Total Citations

144

H-Index

7

About

Tsung-Chi Lin is a leading researcher in human-robot interaction, specializing in teleoperation, telemanipulation, and assistive robotics. His work centers on making remote robot control more intuitive, efficient, and ergonomic, with a particular focus on reducing physical fatigue and cognitive workload for operators. Lin’s major contributions include developing whole-body motion mapping interfaces that allow natural human-to-robot control, and systematically analyzing how physical effort impacts performance in teleoperation tasks. His 2019 paper on physical fatigue in assistive robot teleoperation has garnered 32 citations, while his 2020 work on shared autonomous interfaces to reduce effort has 31 citations. Lin has also pioneered the use of augmented reality visual cues and haptic feedback to enhance dexterous telemanipulation, as demonstrated in his 2022 comparison study (20 citations). His research on tele-nursing robot interfaces (19 citations) directly addresses real-world needs for safe patient care in quarantine settings. More recently, Lin has explored how unreliable autonomy affects human-robot collaboration in shared and supervisory control (2023, 11 citations), and how perception-motion coupling can improve active telepresence. His work consistently bridges human factors engineering with practical robotic applications, making significant strides toward more accessible and effective teleoperation systems.

Research Focus

Key Achievements

7
H-Index
11
Papers
144
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Physical Fatigue Analysis of Assistive Robot Teleoperation via Whole-body Motion Mapping
32 citations · 2019
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Worcester Polytechnic Institute, Johns Hopkins University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago