Yen-Feng Su

Papers

Total Citations

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About

Yen-Feng Su is a robotics researcher whose work focuses on enhancing robotic manipulation through the integration of affordance theory. His key research areas include robot grasping, affordance-based planning, and adaptive manipulation in dynamic environments. Su’s major contribution lies in his 2017 paper, “Improving robot grasping plans with affordance,” which introduces a novel framework that leverages the concept of affordance to improve the quality and flexibility of robotic grasping operations. By addressing uncertainties in grasping areas and operations, his work enables robots to handle a wider variety of objects more reliably in changing settings. Though his most-cited paper has garnered 4 citations, its impact is notable for laying foundational ideas in affordance-driven manipulation, a growing field in robotics. Su’s research is particularly valuable for students and researchers interested in bridging perception and action in robotics, offering practical insights into how robots can better understand and interact with their environments. His work continues to inspire advancements in autonomous grasping and adaptive robotic systems.