Ryan Rhay P. Vicerra
De La Salle University, University of Santo Tomas, Gangneung–Wonju National University
Papers
32
Total Citations
593
H-Index
9
About
Ryan Rhay P. Vicerra is a prolific robotics and autonomous systems researcher whose work spans computer vision, swarm intelligence, unmanned aerial vehicles (UAVs), and emerging technologies for space exploration. He is perhaps best known for his highly cited 2018 paper on object detection using convolutional neural networks, which has garnered over 300 citations and underscores his significant contribution to vision-guided robotic systems used in navigation, surveillance, and explosive ordnance disposal. His foundational work on UAV quadrotor swarming algorithms (2014, 55 citations) introduced decentralized swarm behaviors — including aggregation, foraging, and formation — to multi-robot aerial systems, while subsequent research on artificial potential fields further refined obstacle avoidance in swarm environments. Vicerra has also advanced in-pipe inspection robotics, developing adaptive robots capable of rust detection and multi-diameter traversal. His innovative application of fuzzy logic and genetic algorithms to cooperative robot systems reflects his interdisciplinary approach to autonomous control. More recently, he has explored frontier topics such as Industry 5.0 and sustainable space agriculture, demonstrating a forward-thinking research vision that bridges robotics with humanity's interplanetary ambitions.
Research Focus
Key Achievements
Top Papers
- 1Object Detection Using Convolutional Neural Networks303 citations · 2018
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- 5Path planning of underwater swarm robots using genetic algorithm17 citations · 2014
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- 10Design of a Robot Controller for Peloton Formation Using Fuzzy Logic9 citations · 2019