Ernesto Moya-Albor
Papers
12
Total Citations
56
H-Index
5
About
Ernesto Moya-Albor is a leading researcher at the intersection of bio-inspired vision, intelligent control, and neuro-robotics. His work is defined by a pioneering focus on optical flow strategies modeled after the human visual system, which he has applied to solve fundamental challenges in autonomous mobile robot navigation. A key contribution is the development of novel artificial organic control systems that integrate fuzzy-molecular inference with Hermite optical flow feedback, enabling robots to navigate dynamic and unstructured environments—such as those required for assisted living—without relying on traditional sensors. His research has achieved significant impact, with his most cited papers on distance estimation and distributed evolutionary learning control each garnering 8 citations. Beyond navigation, Moya-Albor has advanced practical assistive technologies, including the SCOMA hand prosthetic, designed to restore daily function and improve mental health for amputees, and a stair-climbing robot using convolutional neural networks to aid the visually impaired. His recent work also explores distributed wound treatment optimization for training CNN models, demonstrating a versatile commitment to applying intelligent systems for real-world human benefit.
Research Focus
Key Achievements
Top Papers
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- 7SCOMA hand prosthetic3 citations · 2021
- 8Bio-inspired Optical Flow-based Autonomous Obstacle Avoidance Control3 citations · 2019
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