ArticleScience advances2022
Neurorobotic approaches to emulate human motor control with the integration of artificial synapse.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Ferroelectric Devices for In-Memory and In-Sensor Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Physical echo state network based on the nonlinearity and dynamic response of ambipolar heterostructure transistors.Nature communications · 2026Article
- Intrinsically flexible multimode reconfigurable transistors for polymorphic circuits and neuromorphic devices.Nature communications · 2025Article
- Modulating synaptic plasticity with metal-organic framework for information-filterable artificial retina.Nature communications · 2025Article
- Monolithically integrated neuromorphic electronic skin for biomimetic radiation shielding.Science advances · 2024Article
- Bioinspired iontronic synapse fibers for ultralow-power multiplexing neuromorphic sensorimotor textiles.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Toward human-like adaptability in robotics through a retention-engineered synaptic control system.Science advances · 2024Article
- A New Mechanism of Carbon Metabolism and Acetic Acid Balance Regulated by CcpA.Microorganisms · 2023Article
- Physically defined long-term and short-term synapses for the development of reconfigurable analog-type operators capable of performing health care tasks.Science advances · 2023Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The advancement of electronic devices has enabled researchers to successfully emulate human synapses, thereby promoting the development of the research field of artificial synapse integrated soft robots. This paper proposes an artificial reciprocal inhibition system that can successfully emulate the human motor control mechanism through the integration of artificial synapses. The proposed system is composed of artificial synapses, load transistors, voltage/current amplifiers, and a soft actuator to demonstrate the muscle movement. The speed, range, and direction of the soft actuator movement can be precisely controlled via the preset input voltages with different amplitudes, numbers, and signs (positive or negative). The artificial reciprocal inhibition system can impart lifelike motion to soft robots and is a promising tool to enable the successful integration of soft robots or prostheses in a living body.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.