Neuromorphic Computing Architectures for Robot Vision in Marine Harsh Environments

Опубликовано: 25 Июнь 2026
на канале: KAUST RISC Lab
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KAUST Research Conference on Robotics and Autonomy 2023
Speaker: Jorge Dias, Professor, Khalifa University

Abstract:
The design of robots that interact autonomously with the environment and exhibit complex behaviors is an open challenge that can benefit from understanding what makes living beings fit to act in the world. Neuromorphic engineering studies neural computational principles to develop technologies that can provide a computing substrate for building compact and low-power processing systems. In this talk shows why the robots with neuromorphic technologies - from perception to motor control - represents a promising approach for the creation of robots which can be more intelligent and autonomous. This keynote addresses computational aspects of implementing robotic and computer vision algorithms that are based on neurocomputing paradigms for robot vision and harsh environments. Different algorithms have been translated to this new approach where the multi-sensing data with probabilistic distributions, are used to navigate in marine and harsh environments. In the talk we address our current attempt to implement efficient "haze removal" CNN to remove the distortion from underwater images and increase the quality and performance of the machine learning programs which improves navigation of marine robots.



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Conference:
The KAUST Research Conference on Robotics and Autonomy 2023 (RobotoKAUST 2023)

Organizing Committee:
Eric Feron, Shinkyu Park, Raquel Peixoto

Date:
08-10 May 2023

Venue:
King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

Website:
https://cemse.kaust.edu.sa/robotokaust

Organization team and volunteers:
Mohamad T. Shahab, Renzo Caballero, Angelica Coronado Preciado, Kuat Telegenov, Mohammed Aldosari, Katja Gorenflot, Jumana Alashi, Hanouf Al-Hattan, Rehab Ashri, Marta Golem, Adeel Akhtar, Jun Chen, Abdullah Alharthi, Altayeb-Moh'd A. Al-Shedayfat, Amin Almozel, Nawaf Alotaibi, Shatha Alzahrani, Lucas Câmara Dantas Bezerra, Salman Ghori, Arman Ibrayeva, Anton Kim, Bilal Maassarani, Obadah Wali, Joanna M. Ogieglo, Norah Alghamdi

The KAUST Robotics, Intelligent Systems, and Control (RISC) Lab:
https://cemse.kaust.edu.sa/risclab