Papers
13
Total Citations
82
H-Index
6
About
Adnan Rachmat Anom Besari is a robotics and computer vision researcher whose work spans intelligent manufacturing, assistive robotics, and robotics education. His early contributions focused on automating precision manufacturing processes, most notably developing computer vision and artificial neural network approaches for robotic polishing applications — work that earned 18 citations and addressed critical challenges in reducing manufacturing time, costs, and hazardous working conditions. Alongside this, he pioneered surface defect characterization techniques using contour dispersion to enable reliable automated quality inspection. Besari's research evolved significantly toward socially aware and safety-conscious robots, with notable contributions in ecological approaches for object relationship extraction and safe manipulation strategies for home-care and elderly-assistance robots, reflecting a growing concern for human-robot interaction in domestic environments. His exploration of digital twin technologies for mobility support robots further demonstrates his engagement with cutting-edge cyber-physical systems. Beyond technical research, Besari has made meaningful contributions to robotics education, designing curriculum frameworks derived from Bloom's Taxonomy and developing accessible visual mobile programming tools for students and novice IoT developers. With a portfolio accumulating citations across manufacturing automation, assistive robotics, legged locomotion, and humanoid motion, his work reflects a broad yet cohesive vision of robotics as both an engineering discipline and an educational imperative.
Research Focus
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- 10Topological Twin for Mobility Support Robots4 citations · 2022