Jose Martin Z. Maningo
Papers
13
Total Citations
417
H-Index
7
About
Jose Martin Z. Maningo is a robotics researcher whose work spans computer vision, swarm intelligence, and autonomous systems. His most impactful contribution is in object detection for mobile robots using convolutional neural networks (303 citations), enabling critical tasks like navigation, surveillance, and explosive ordnance disposal. He has made significant advances in quadrotor UAV swarms, developing obstacle avoidance algorithms using artificial potential fields and novel approaches to swarm centroid tracking with genetic algorithms. Maningo also designed adaptive in-pipe inspection robots capable of rust detection and localization, as well as multi-diameter traversing mechanisms for pipe networks. His research on dynamic peloton formation for aerodynamic optimization and decentralized information dissemination in swarms demonstrates his focus on efficient multi-agent coordination. Notable achievements include applying Smoothed Particle Hydrodynamics and Moving Particle Semi-Implicit methods to model swarm behaviors, and developing a fire extinguishing robot with human presence detection using ultra-wideband signals. With over 400 total citations, Maningo’s work bridges theoretical swarm algorithms and practical robotic systems, making him a key figure in autonomous robotics and multi-robot coordination.
Research Focus
Key Achievements
Top Papers
- 1Object Detection Using Convolutional Neural Networks303 citations · 2018
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