Meng Chu
Papers
3
Total Citations
37
H-Index
3
About
Meng Chu is a researcher at the forefront of human-robot interaction, specializing in multisensory teleoperation, haptic feedback, and the integration of the Internet of Things (IoT) with robotic control systems. Their work addresses the critical challenge of reducing operator fatigue in teleoperated robots—a key barrier to applications in remote nursing and semi-mechanical control. Chu’s most cited paper, “Multisensory Fusion, Haptic, and Visual Feedback Teleoperation System Under IoT Framework” (2022, 30 citations), demonstrates how combining haptic and visual feedback within an IoT framework can enhance accuracy and user endurance. They further advanced the field with “A Multisensory and Support Vector Machine Based Teleoperate Robotic Arm” (2021), which uses flexible EMG sensors and inertial measurement units to map human signals to robotic degrees of freedom. Chu also contributed to accessible robotics with “A Smart Glove Based Robotic Hand Control” (2021), proposing a low-cost, closed-loop control system for robotic hands. By tackling both performance and affordability, Chu’s work is paving the way for more practical, fatigue-resistant teleoperation systems in healthcare and industry.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Multisensory and Support Vector Machine Based Teleoperate Robotic Arm4 citations · 2021
- 3A Smart Glove Based Robotic Hand Control3 citations · 2021