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Memristor-based adaptive neuromorphic perception in unstructured environments
Engineering and TechnologyNature Communications

Memristor-based adaptive neuromorphic perception in unstructured environments

S. Wang, S. Gao, et al.

A memristor-based differential neuromorphic method delivers rapid perceptual signal processing and online adaptation for real-world navigation, validated in robot grasping (~1 ms tactile adaptation with a single memristor) and autonomous driving (94% decision accuracy across 10 unstructured environments using a 40×25 memristor array). This research was conducted by the authors present in the <Authors> tag.... show more
Abstract
Efficient operation of control systems in robotics or autonomous driving targeting real-world navigation scenarios requires perception methods that understand and adapt to unstructured environments with high accuracy, adaptation, and generality. This work presents a memristor-based differential neuromorphic computing, perceptual signal processing, and online adaptation method that provides neuromorphic-style adaptation to external sensory stimuli. Adaptation ability and generality are validated in two scenarios: object grasping and autonomous driving. In grasping, a robot hand achieves safe, stable grasping via fast (~1 ms) adaptation based on tactile object features using a single memristor. In autonomous driving, decision-making information across 10 unstructured environments is extracted with 94% accuracy using a 40×25 memristor array. By mimicking human low-level perception mechanisms, the electronic neuromorphic circuit-based method achieves real-time adaptation and high-level reactions to unstructured environments.
Publisher
Nature Communications
Published On
May 31, 2024
Authors
Shengbo Wang, Shuo Gao, Chenyu Tang, Edoardo Occhipinti, Cong Li, Shurui Wang, Jiaqi Wang, Hubin Zhao, Guohua Hu, Arokia Nathan, Ravinder Dahiya, Luigi Giuseppe Occhipinti
Tags
memristorneuromorphic computingonline adaptationtactile perceptionautonomous drivingreal-time signal processing
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