Papers
13
Total Citations
99
H-Index
6
About
Kai Cao is a robotics researcher whose work bridges bio-inspired design, locomotion, and autonomous navigation. His primary research areas include biologically inspired robotics, multi-robot systems, and mobile robot path planning. Cao is best known for pioneering a bio-inspired biped water-running robot that mimics the basilisk lizard, incorporating a Watt-I planar linkage mechanism to achieve dynamic locomotion on water surfaces. This work, published in 2013, has garnered 26 citations and led to several related studies on fluid-structure interaction and propulsion mechanisms for amphibious robots. His contributions extend to path planning, where he developed a hybrid global dynamic method integrating real-time obstacle avoidance, earning 16 citations. More recently, Cao has advanced multi-robot coverage systems for non-convex environments and designed innovative wall-climbing and in-pipe robots using rolling adsorption and bioinspired adhesive attachments. With over 90 total citations across his top ten papers, Cao’s work demonstrates sustained impact in both theoretical and applied robotics. His research is particularly notable for combining rigorous kinematic and dynamic analysis with practical robot design, making significant strides toward robots that can operate in challenging terrestrial, aquatic, and vertical environments.
Research Focus
Key Achievements
Top Papers
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- 2A New Hybrid Method in Global Dynamic Path Planning of Mobile Robot16 citations · 2018
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- 10Path-Planning for Robot Based on Grid Algorithm4 citations · 2009