Elmer P. Dadios
De La Salle University, Telkom University, Gangneung–Wonju National University
Papers
61
Total Citations
1,064
H-Index
16
About
Elmer P. Dadios is a pioneering Filipino researcher whose work spans robotics, artificial intelligence, fuzzy logic, and intelligent systems — fields in which he has built a distinguished career bridging foundational theory with real-world engineering applications. His most celebrated contribution, "Object Detection Using Convolutional Neural Networks" (2018, 303 citations), established him as a leading voice in vision-based robotic systems, with applications ranging from surveillance to explosive ordnance disposal. His edited volume on fuzzy logic controls (2012, 104 citations) has become a key reference for researchers developing intelligent machines and control systems worldwide. Dadios has made substantial contributions to mobile robot navigation through genetic algorithms and probabilistic roadmaps, UAV swarm behavior, and obstacle avoidance using artificial potential fields, reflecting a consistent focus on autonomous and cooperative robotics. His work on agricultural robotics — including inverse kinematics for crop-harvesting arms — demonstrates a commitment to socially impactful innovation. Beyond technical research, his scoping study on the Philippines and the Fourth Industrial Revolution (2018, 40 citations) highlights his broader vision for national technological readiness. With over 600 cumulative citations, Dadios remains an influential figure in Southeast Asian engineering research.
Research Focus
Key Achievements
Top Papers
- 1Object Detection Using Convolutional Neural Networks303 citations · 2018
- 2Fuzzy Logic - Controls, Concepts, Theories and Applications104 citations · 2012
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