Papers
1
Total Citations
4
H-Index
1
About
Telung Pan is a rising researcher in rehabilitation robotics and assistive exoskeleton control, with a focus on enhancing safety and performance in human-robot interaction. Their most-cited work introduces a barrier function-based prescribed performance control strategy for wheelchair-mounted upper-limb exoskeletons, addressing critical challenges such as actuator faults and external disturbances. This 2024 study, already garnering 4 citations, demonstrates robust trajectory tracking through experimental verification—a significant step toward reliable, real-world assistive devices for individuals with mobility impairments. Pan’s contributions lie at the intersection of nonlinear control theory and practical robotics, offering solutions that ensure both precision and fault tolerance. Their work is particularly notable for integrating prescribed performance constraints with barrier functions, a novel approach that guarantees system stability and safety even under adverse conditions. As an emerging voice in the field, Pan’s research holds promise for advancing adaptive exoskeleton technologies, with potential applications in rehabilitation, daily assistance, and human augmentation. Their growing citation record reflects the community’s interest in robust, verifiable control methods for next-generation wearable robots.
Research Focus
Key Achievements
Top Papers
- 1