Ruchao Wang
Papers
9
Total Citations
81
H-Index
6
About
Ruchao Wang is a leading researcher in robotics, specializing in multi-locomotion systems, path planning, and bionic robot design. His work focuses on enabling robots to adapt to complex environments through innovative mechanical structures and intelligent control algorithms. Wang’s most cited paper, "Path Planning Algorithm for Multi-Locomotion Robot Based on Multi-Objective Genetic Algorithm with Elitist Strategy" (26 citations), introduces a groundbreaking approach for robots to switch locomotion modes—such as walking, rolling, or climbing—based on obstacles, optimizing power, speed, and safety. He also developed a wheel–leg–body cooperation control for a step-climbing robot (13 citations), advancing stair navigation for competition platforms like RoboMaster. His improved fuzzy-controlled local path planning algorithm (11 citations) enhances mobile robot navigation in dynamic settings. Wang’s notable achievements include designing a multi-locomotion parallel-legged bipedal robot and a lightweight robotic arm with a load-adaptive hoisting mechanism, showcasing his versatility. With over 80 total citations, his contributions to bionic gibbon robots and delta robot platforms further demonstrate his impact on both theoretical and applied robotics, making him a key figure in advancing autonomous, adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4Design and Control of a Multi-Locomotion Parallel-Legged Bipedal Robot8 citations · 2024
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- 8Innovative design and realization of lightweight delta robot platform4 citations · 2017
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