Yongyang Wang

Papers

Total Citations

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About

Yongyang Wang is a researcher at the forefront of robotic tactile perception and advanced control systems, with a focus on bridging the gap between biological sensing and machine intelligence. His most cited work introduces a human-inspired robotic tactile sensing system for fluid perception, featuring a biomimetic fluid-sensitive handlike sensor (BFHS) that emulates natural tactile sensation. This innovation, published in 2024 and garnering 7 citations, enables robots to perceive fluid properties in complex environments—a critical capability for applications in manufacturing, healthcare, and hazardous material handling. Wang’s earlier research addresses the persistent challenge of backlash in mechanical systems, proposing a novel switched control strategy to mitigate its destabilizing effects in precision equipment like robots and telescopes. This 2013 work, with 3 citations, demonstrates his foundational contributions to control theory. By integrating bio-inspired design with robust control methodologies, Wang’s research advances the development of more adaptive and reliable robotic systems, offering practical solutions for real-world automation challenges. His work is particularly valuable for students and engineers exploring the intersection of tactile sensing, biomimetics, and nonlinear control.