Papers
27
Total Citations
585
H-Index
14
About
Yonghui Hu is a prominent robotics researcher whose work centers on biomimetic underwater robotics, locomotion control, and autonomous systems. His career has been defined by pioneering contributions to the design and control of bio-inspired aquatic robots, drawing from the elegant propulsion strategies of fish, dolphins, and turtles to engineer high-performance underwater platforms. Hu's most celebrated work includes the development of vision-based autonomous robotic fish capable of 3D locomotion and real-time target tracking and collision avoidance, which has accumulated 94 citations and remains a landmark contribution to the field. His mechanical innovations, particularly the adjustable Scotch yoke mechanism for dolphin-like propulsion, and his detailed mechatronic studies of biomimetic robotic dolphins, demonstrate a rare command of both engineering design and biological principles. A recurring theme in his research is the use of Central Pattern Generator (CPG) frameworks to produce naturalistic, adaptive locomotion, a methodology explored across fish, turtle, and thunniform swimming robots. His 2014 parameter synthesis work for CPG-based locomotion has earned 64 citations, underscoring its methodological influence. With a body of work spanning over a decade, Hu's research has significantly shaped how engineers approach underwater bio-inspired robotics.
Research Focus
Key Achievements
Top Papers
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- 3Dolphin-like propulsive mechanism based on an adjustable Scotch yoke56 citations · 2008
- 4Mechanical design and motion control of a biomimetic robotic dolphin52 citations · 2007
- 5Development and target following of vision-based autonomous robotic fish34 citations · 2009
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- 8Development and depth control of biomimetic robotic fish27 citations · 2007
- 9Learning fish-like swimming with a cpg-based locomotion controller20 citations · 2011
- 10An adjustable scotch yoke mechanism for robotic dolphin20 citations · 2007