Qijie Zhao
Papers
8
Total Citations
76
H-Index
5
About
Qijie Zhao is a robotics researcher whose work spans assistive healthcare, human-robot interaction, and autonomous mobile manipulation. His research focuses on developing intelligent robotic systems that enhance human capabilities, from preventing falls in elderly populations to automating construction tasks. Zhao’s most cited work, “Monocular Vision-Based Parameter Estimation for Mobile Robotic Painting” (29 citations), addresses the practical challenge of automating interior wall painting by enabling robots to estimate painting parameters from a single camera—a contribution that bridges computer vision and construction robotics. He also designed the Robotic Knee Assistive Device (ROKAD), a wearable exoskeleton that provides external knee torque to prevent slip-induced falls during walking (13 citations), demonstrating a direct application of robotics to injury prevention. In healthcare, Zhao proposed a multimodal human-robot integration system for elderly and disabled care (14 citations), emphasizing natural interaction through shared collaboration interfaces. His earlier work on gaze tracking calibration for human-robot interaction (6 citations) and bionic navigation algorithms inspired by insect neuroethology (3 citations) further showcase his versatility. With a career spanning over a decade, Zhao’s contributions have laid groundwork for safer, more intuitive robots that work alongside humans in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Monocular Vision-Based Parameter Estimation for Mobile Robotic Painting29 citations · 2018
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