Chun-Chia Lai

National Taipei University of Technology

Papers

Total Citations

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About

Chun-Chia Lai’s research centers on robotic manipulation, specifically the synthesis of reaching movements through human demonstration and primitive-based learning. His major contribution lies in developing methods that simplify the complex task of programming collision-free reaching skills for robots. By leveraging primitives acquired from human demonstrations, Lai’s work enables robots to learn and replicate reaching motions without the need for tedious handcrafted programming. His most-cited paper, “Learning collision-free reaching skill from primitives” (2012), has garnered 6 citations and demonstrates a practical approach to teaching robots how to navigate obstacles while reaching for objects. A related study, “Robot reaching movement synthesis by human demonstration” (2012), further refines this methodology by synthesizing movements directly from human examples. Though his citation counts are modest, Lai’s work represents an important step toward intuitive robot programming, reducing the barrier for non-experts to teach robots complex motor skills. His research contributes to the broader field of learning from demonstration, offering a foundation for more adaptive and user-friendly robotic systems in manufacturing, healthcare, and service applications.