National University of Singapore

Abdul Fatir Ansari

Chee Keong Tee

Hian Hian See

Tasbolat Taunyazov

Weicong Sng

Sheng Yuan Jethro Kuan

Soon Hong Harold Soh

A classifying sensing system, a classifying method performed using a sensing system, a tactile sensor, and a method of fabricating a tactile sensor. The classifying sensing system comprises a first spiking neural network, SNN, encoder configured for encoding an event-based output of a vision sensor into individual vision modality spiking representations with a first output size; a second SNN encoder configured for encoding an event-based output of a tactile sensor into individual tactile modality spiking representations with a second output size; a combination layer configured for merging the vision modality spiking representations and the tactile modality spiking representations; and a task SNN configured to receive the merged vision modality spiking representations and tactile modality spiking representations and output vision-tactile modality spiking representations with a third output size for classification.

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Singapore, Singapore

Abdul Fatir Ansari