Papers

2

Total Citations

10

H-Index

2

About

Chengjie Zhang is a researcher at the forefront of assistive robotics and acoustic sensing, whose work bridges the gap between human mobility needs and intelligent machine perception. His primary research areas encompass robotic walker control for gait rehabilitation and advanced microphone array calibration for audition robots. Zhang’s major contributions include developing a man-machine interaction-based motion control system for a robotic walker, designed to assist mobility-limited individuals—particularly stroke patients—in regaining their activities of daily living. This work directly addresses the challenges posed by an aging population and dyskinesia. In parallel, he has advanced asynchronous microphone array calibration using hybrid Time Difference of Arrival (TDOA) information, a critical prerequisite for robots to localize sound sources in real-world environments. While his most-cited papers each hold 5 citations, their impact lies in their foundational nature for practical, real-world applications—from enabling safer, more responsive assistive devices to improving robotic audition in dynamic settings. Zhang’s research exemplifies a commitment to translating complex engineering challenges into tangible solutions for healthcare and human-robot interaction.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Asynchronous Microphone Array Calibration using Hybrid TDOA Information
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Southern University of Science and Technology, Shanghai University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago