Papers
9
Total Citations
85
H-Index
5
About
Zhihuai Miao is a pioneering roboticist whose work sits at the intersection of bio-inspired locomotion, parallel mechanisms, and amphibious robotics. His research fundamentally addresses how robots can traverse complex, multi-environment terrains—from land to water—by developing novel hybrid locomotion systems. Miao’s most impactful contribution, an improved ant colony optimization (ACO) algorithm for mobile robot path planning (22 citations), provides a computationally efficient solution for navigating obstacle-laden environments. He is perhaps best known for his groundbreaking work on combustion-powered hopping robots (22 citations), which combine wheeled mobility with powerful jumping capabilities to overcome obstacles several times the robot’s own size. Extending this concept to aquatic environments, Miao designed a novel water jet thruster for amphibious jumping robots (8 citations), enabling seamless transitions between terrestrial and aquatic locomotion. His innovative use of parallel mechanisms is a hallmark of his career, exemplified by a biped walking robot based on a 2-UPU+2-UU parallel mechanism (14 citations) and a hybrid 3-RPR mechanism with scalable platforms for self-crossing locomotion (5 citations). Through these contributions, Miao has established himself as a leading figure in creating multi-modal robots that push the boundaries of mobility and adaptability.
Research Focus
Key Achievements
Top Papers
- 1An improved ACO algorithm for mobile robot path planning22 citations · 2016
- 2Wheeled hopping robot with combustion-powered actuator22 citations · 2018
- 3Biped walking robot based on a 2-UPU+2-UU parallel mechanism14 citations · 2014
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- 6Mobile Robot with Multiple Modes Based on 4-URU Parallel Mechanism4 citations · 2016
- 7Design of a novel water jet thruster for amphibious jumping robot4 citations · 2018
- 8Design and Motion control of a Small Underwater Robot4 citations · 2018
- 9Mobile 4-mU parallel robot with multiple modes2 citations · 2017