Max Robotics — Global Service Robot Directory + US Certification

About

Yubin Ke is a pioneering researcher at the intersection of bio-inspired robotics, autonomous systems, and intelligent manipulation. His work spans from fundamental flow mechanics in robotic fish to cutting-edge dexterous grasping and AI-driven chemical synthesis. Ke’s early research on robotic fish, notably his 2007 study “Investigation of flow mechanism of a robotic fish swimming by using flow visualization synchronized with hydrodynamic force measurement” (18 citations), established foundational understanding of aquatic locomotion by correlating flow patterns with force generation. More recently, Ke has advanced robotic dexterity through his work on “BODex: Scalable and Efficient Robotic Dexterous Grasp Synthesis Using Bilevel Optimization” (2025, 2 citations), introducing a novel gradient-based optimization framework for generating large-scale, high-quality grasping datasets—a critical bottleneck for data-driven manipulation. His contributions extend to autonomous laboratories, as highlighted in “Recent Progress in Autonomous Laboratories for Chemical Synthesis” (2025, 1 citation), where he reviews how AI and robotics integration is revolutionizing experimental chemistry. Ke’s work demonstrates a unique ability to bridge fundamental fluid dynamics with state-of-the-art AI and robotics, positioning him as a versatile innovator whose research impacts both biological inspiration and practical automation.