Papers
4
Total Citations
103
H-Index
4
About
Charles Ng is a specialist in robotic automation and human-robot knowledge transfer, with a particular focus on surface finishing processes such as grinding and polishing. His research addresses one of manufacturing's most persistent challenges: translating the intuitive, experience-driven expertise of skilled human operators into programmable robotic systems. Through a series of influential publications spanning 2014 to 2016, Ng developed innovative methodologies for capturing "tacit knowledge" — the unspoken, often unconscious skills that experienced craftspeople possess — and encoding it into robot programs. His approach involves instrumenting hand-held grinding tools with sensors to record key process variables including contact force, tool path, and feed rate during human demonstrations, which are then used to automatically generate robot programs capable of replicating complex conformance grinding tasks. His most cited work (2015, 51 citations) introduced a systematic framework that significantly reduces the time and expertise required to automate manual finishing operations. Collectively, his papers have accumulated over 100 citations, reflecting meaningful impact in the fields of manufacturing automation, programming by demonstration, and intelligent robotics — areas critical to advancing flexible, human-inspired automation in modern industry.
Research Focus
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