Eng Wei Goh

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About

Eng Wei Goh is pioneering the intersection of neuromorphic sensing and autonomous underwater robotics. His research centers on bio-inspired soft sensors for underwater applications and robust simultaneous localization and mapping (SLAM) in challenging subsea environments. Goh’s most notable contribution is the development of a self-spiking linear neuromorphic soft pressure sensor, which mimics the lateral line system of aquatic vertebrates to detect water vibrations and pressure gradients. This work, published in 2025 with 6 citations, represents a significant step toward creating artificial mechanoreceptors that convert mechanical stimuli into electric signals for direct neural processing. In parallel, his 2024 study on sonar SLAM in structured underwater environments (4 citations) addresses the critical challenge of autonomous navigation in turbid waters where cameras and LiDARs fail. By enabling AUVs to map and localize in featureless underwater structures using sonar sensors, Goh is advancing the capabilities of autonomous systems for marine exploration, infrastructure inspection, and environmental monitoring. His work bridges soft robotics, neuromorphic engineering, and field robotics, establishing him as an emerging leader in intelligent underwater sensing and navigation.