Ka Ching Chan

University of Toronto, La Trobe University

Papers

Total Citations

H-Index

About

Ka Ching Chan’s research bridges mechanical engineering and modern cloud computing, with a focus on reconfigurable fixturing systems and cloud robotics architectures. In his foundational 1990 work, Chan introduced a reconfigurable fixturing system for robotic assembly—a key contribution to flexible manufacturing that has garnered 34 citations and remains relevant in automation research. More recently, Chan has advanced the field of cloud robotics, most notably through his 2017 study proposing a general cloud robotics architecture that leverages established big data technologies. This work addresses a critical gap in the literature by providing a fully detailed, deployable framework—enabling reproducible experimental results that prior studies had withheld. With 6 citations, this contribution is shaping how researchers integrate cloud and robotic systems. Chan also contributed to IT education by designing a capstone subject on cloud robotics at La Trobe University, aligning with ACM’s IT curriculum pillars. His work demonstrates a unique trajectory from mechanical fixtures to software-defined robotics, reflecting a career dedicated to both practical automation and the pedagogical foundations of modern computing.