Papers
7
Total Citations
40
H-Index
4
About
Xijun Chen’s research lies at the intersection of robotics, wireless sensor networks, and assistive technology, with a focus on solving real-world challenges in mobility, perception, and communication. A key contribution is the development of an assistant robot with standing-up devices (ARSD) for paraplegic patients and elderly people, which aids sit-to-stand transfers and mobility—work that has garnered over 12 citations across related papers. Chen also advanced network optimization in wireless sensor networks, particularly for harsh environments like disaster rescue and lunar surfaces, with a design for a CC2431-based node tailored to lunar conditions (5 citations). In robotics, Chen tackled object segmentation without prior knowledge using Kinect depth data, enabling robots to distinguish objects in complex scenes (6+ citations). Additional work includes tracking control of mobile robots under kinematic uncertainty using neural networks (6 citations). With a cumulative citation count exceeding 40, Chen’s interdisciplinary research demonstrates a commitment to practical, human-centered innovation, bridging robotics, sensor networks, and assistive devices to enhance autonomy and safety in both everyday and extreme environments.
Research Focus
Key Achievements
Top Papers
- 1Investigating Network Optimization Approaches in Wireless Sensor Networks11 citations · 2006
- 2
- 3
- 4
- 5Robot aided object segmentation without prior knowledge4 citations · 2012
- 6
- 7Robot aided object segmentation based on kinect without prior knowledge2 citations · 2012