Edwin Sybingco
Papers
8
Total Citations
36
H-Index
4
About
Edwin Sybingco is a robotics and automation researcher whose work bridges computer vision, machine learning, and embedded systems for real-world safety and security applications. His research focuses on developing intelligent robotic systems capable of autonomous perception and decision-making, particularly in hazardous environments. Sybingco has made significant contributions to visual servoing and object detection, as demonstrated by his highly cited review on alignment control using MobileNet SSD, which addresses the critical challenge of robot responsiveness in dynamic environments. His work on the BombNose system, which uses machine learning with electronic nose sensor substitution for bomb-related gas prediction, showcases his innovative approach to safety robotics. Sybingco has also developed practical solutions for traffic violation detection, human presence detection using ultra-wideband signals for fire extinguishing robots, and amphibious vehicles for flood search operations. With over 36 citations across his publications, his research has particular impact in the Philippines, where his work addresses pressing local challenges in disaster response and public safety. His recent exploration of gesture-based motor control using Leap Motion demonstrates his continued commitment to advancing human-robot interaction technologies.
Research Focus
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Top Papers
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