Artificial organic afferent nerves enable closed-loop tactile feedback for intelligent robot.

Autor: Chen S; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.; Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu, PR China., Zhou Z; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore., Hou K; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore., Wu X; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore., He Q; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore., Tang CG; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore., Li T; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore., Zhang X; Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu, PR China., Jie J; Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu, PR China., Gao Z; CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, PR China., Mathews N; Energy Research Institute @ NTU, Nanyang Technological University, Singapore, Singapore. nripan@ntu.edu.sg.; School of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore. nripan@ntu.edu.sg., Leong WL; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore. wlleong@ntu.edu.sg.
Jazyk: angličtina
Zdroj: Nature communications [Nat Commun] 2024 Aug 15; Vol. 15 (1), pp. 7056. Date of Electronic Publication: 2024 Aug 15.
DOI: 10.1038/s41467-024-51403-9
Abstrakt: The emulation of tactile sensory nerves to achieve advanced sensory functions in robotics with artificial intelligence is of great interest. However, such devices remain bulky and lack reliable competence to functionalize further synaptic devices with proprioceptive feedback. Here, we report an artificial organic afferent nerve with low operating bias (-0.6 V) achieved by integrating a pressure-activated organic electrochemical synaptic transistor and artificial mechanoreceptors. The dendritic integration function for neurorobotics is achieved to perceive directional movement of object, further reducing the control complexity by exploiting the distributed and parallel networks. An intelligent robot assembled with artificial afferent nerve, coupled with a closed-loop feedback program is demonstrated to rapidly implement slip recognition and prevention actions upon occurrence of object slippage. The spatiotemporal features of tactile patterns are well differentiated with a high recognition accuracy after processing spike-encoded signals with deep learning model. This work represents a breakthrough in mimicking synaptic behaviors, which is essential for next-generation intelligent neurorobotics and low-power biomimetic electronics.
(© 2024. The Author(s).)
Databáze: MEDLINE
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