Minghao Chen
Papers
5
Total Citations
87
H-Index
5
About
Minghao Chen is a robotics researcher whose work spans power line inspection, manipulation in confined spaces, and rehabilitation exoskeletons. His core contributions focus on developing autonomous robotic systems for critical infrastructure maintenance. Chen’s most cited work, “Environment Perception Technologies for Power Transmission Line Inspection Robots” (2021, 31 citations), addresses the growing need for automated power grid inspection by reviewing perception methods that enable robots to navigate and assess transmission lines. He further advanced this field with a vision-based autonomous landing system for a hybrid climbing-flying robot (2022, 24 citations), solving a key challenge in deploying aerial-ground robots on power lines. Chen also designed a passive compliance obstacle-crossing robot (2023, 18 citations) that improves efficiency over traditional cantilevered designs. Beyond power lines, he has contributed to a coiled cable-conduit-driven hyper-redundant manipulator for operating in narrow spaces, and a self-coordinating controller with balance-guiding ability for lower-limb rehabilitation exoskeletons, demonstrating versatility across robotic domains. His work is notable for combining practical engineering solutions with rigorous control and perception methods, earning recognition in the robotics community.
Research Focus
Key Achievements
Top Papers
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- 2Vision-Based Autonomous Landing of a Hybrid Robot on a Powerline24 citations · 2022
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