Papers
64
Total Citations
1,152
H-Index
16
About
Guanjun Bao is a prolific robotics researcher whose work spans soft robotics, robotic exoskeletons, tactile sensing, and intelligent robotic systems. He has made significant contributions to mapping and synthesizing emerging research landscapes, as evidenced by his highly cited bibliometric analyses of soft robotics (202 citations) and robotic exoskeletons (136 citations), which have become essential reference points for researchers entering these rapidly evolving fields. Beyond survey work, Bao has advanced the frontier of bioinspired sensing and actuation, notably developing a biomimetic soft robot modeled on the Drosera capensis plant and pioneering multisensory electronic skins that enable robots to non-invasively identify object softness — work that garnered 93 citations and addresses a critical challenge in dexterous manipulation. His research also extends to practical engineering applications, including photovoltaic panel cleaning robots, adaptive sliding mode control for industrial assembly robots, and real-time deep learning-based object detection for home service robots. With a cumulative citation count exceeding 700 across his top works, Bao's research consistently bridges theoretical innovation and real-world robotics applications, making him a versatile and impactful voice in modern robotics and human-robot interaction research.
Research Focus
Key Achievements
Top Papers
- 1Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis202 citations · 2018
- 2Academic Review and Perspectives on Robotic Exoskeletons136 citations · 2019
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