Longbao Chen

Southern University of Science and Technology

Papers

3

Total Citations

29

H-Index

2

About

Longbao Chen is a pioneering researcher at the intersection of rehabilitation robotics and digital construction, whose work is reshaping how we think about human-machine interaction and building design. His primary research areas include exoskeleton robot design for human augmentation and Building Information Modeling (BIM) for prefabricated construction. Chen’s most impactful contribution lies in systematically addressing the critical challenge of wearing comfort in rigid exoskeletons—a problem that has long limited the real-world adoption of these assistive devices. His 2024 systematic review, which has already garnered 22 citations, provides a comprehensive framework for joint self-alignment, attachment interfaces, and structure customization, offering engineers a roadmap to create exoskeletons that users can wear for extended periods without discomfort. In parallel, Chen’s autoethnographic study on BIM-enabled design processes for prefabricated buildings (5 citations) reveals technology gaps that are essential for improving coordination and efficiency in modern construction. His most recent 2025 work on hip exoskeleton robots tackles the persistent issue of human-robot misalignment, proposing novel mechanism structures for kinematic and dynamic compensation. Through these contributions, Chen is not only advancing assistive technology for individuals with impaired mobility but also bridging the gap between digital design tools and physical construction, making him a notable voice in both fields.

Research Focus

Key Achievements

2
H-Index
3
Papers
29
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A Systematic Review on Rigid Exoskeleton Robot Design for Wearing Comfort: Joint Self-Alignment, Attachment Interface, and Structure Customization
22 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Southern University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago