Jorge Brieva
Papers
12
Total Citations
56
H-Index
5
About
Jorge Brieva is a researcher at the forefront of bio-inspired robotics and intelligent control systems, with a primary focus on mobile robot navigation, computer vision, and assistive technologies. His most significant contributions lie in developing novel optical flow strategies inspired by the human visual system, particularly using Hermite transforms for real-time depth estimation and movement detection in autonomous robots. Brieva has pioneered the integration of fuzzy-molecular inference systems and distributed evolutionary learning control for navigation in dynamic environments, including assisted living spaces for elderly care. His work on the SCOMA prosthetic hand demonstrates his commitment to translating robotics research into tangible medical devices that improve patient quality of life. With multiple papers accumulating 7-8 citations each, Brieva’s research has established foundational methods in bio-inspired optical flow for obstacle avoidance and reinforcement learning-based navigation. His innovative approaches to combining neural networks with organic control strategies have been applied to stair-climbing robots for the visually impaired and wound treatment optimization using CNNs, showcasing the breadth of his impact across healthcare robotics and autonomous systems.
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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