Papers
3
Total Citations
38
H-Index
3
About
Jen-Jee Chen is a leading researcher in wireless sensor networks and autonomous robotic systems, whose work bridges critical gaps in energy efficiency and human-robot interaction. His most impactful contribution lies in wireless rechargeable sensor networks (WRSNs), where his 2022 paper on mobile charging strategies—garnering 27 citations—addresses the fundamental challenge of energy depletion in sensor networks. By developing innovative approaches to extend network lifetime through optimized charging, Chen has provided a practical solution for sustaining long-term sensing and data transmission tasks. In parallel, Chen has advanced autonomous service robotics, notably through his 2020 design of a shopping-guide robot for cashier-less convenience stores (8 citations), which substitutes human labor with intelligent navigation and customer guidance. His earlier work on museum robotic guides (2018) integrates gesture recognition and open-source Duckietown platforms to create interactive, labor-saving solutions for aging populations. With a total of 38 citations across his top papers, Chen’s research demonstrates a consistent focus on deploying autonomous systems—from rechargeable sensor networks to service robots—that enhance operational efficiency and reduce human workload in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Mobile Charging Strategy for Wireless Rechargeable Sensor Networks27 citations · 2022
- 2The Autonomous Shopping-Guide Robot in Cashier-Less Convenience Stores8 citations · 2020
- 3