Hwa Jen Yap
Papers
20
Total Citations
621
H-Index
13
About
Hwa Jen Yap is a prominent researcher whose work spans intelligent manufacturing systems, augmented and virtual reality (AR/VR) applications in robotics, and human-assistive technologies. Based at the intersection of automation and computational intelligence, Yap has made significant contributions to optimizing flexible manufacturing systems (FMS), most notably through innovative hybrid metaheuristic approaches. His highly cited 2017 work on multi-objective AGV scheduling, combining genetic algorithms with particle swarm optimization (135 citations), has become a benchmark reference for researchers tackling complex scheduling challenges in automated manufacturing environments, with a complementary fuzzy hybrid GA-PSO approach adding further nuance to the field (50 citations). Yap's pioneering research in AR/VR-based robotic programming has transformed how engineers design, simulate, and interact with industrial robotic work cells, reducing reliance on traditional, inefficient programming methods — work that has accumulated over 200 citations across multiple publications. His 2023 review of the high-mix, low-volume manufacturing industry (51 citations) demonstrates his broad perspective on evolving industrial demands. Beyond manufacturing automation, Yap has extended his expertise into wearable assistive technologies, developing exoskeleton control systems to mitigate workplace musculoskeletal disorders. Collectively, his body of work reflects a sustained commitment to advancing smart, human-centered manufacturing systems.
Research Focus
Key Achievements
Top Papers
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- 3A Review of the High-Mix, Low-Volume Manufacturing Industry51 citations · 2023
- 4A Fuzzy Hybrid GA-PSO Algorithm for Multi-Objective AGV Scheduling in FMS50 citations · 2017
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- 8VR-Based Robot Programming and Simulation System for an Industrial Robot32 citations · 2008
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