Machine Learning‐Enabled Precision Position Control and Thermal Regulation in Advanced Thermal Actuators (Adv. Mater. Technol. 9/2024)
Source abstract
Abstract
Advanced Thermal Actuators In article number 2301769, Seyed Mo Mirvakili, Ehsan Haghighat, and Douglas Sim introduce a machine learning-based open-loop controller for nylon artificial muscles, achieving remarkable control without external sensors. By utilizing a probabilistic (ensemble) neural network, the controller maps power desired movements, paving the way for advanced robotics applications, adaptable to various types of thermal artificial muscles.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Measurement and Metrology Techniques
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Affiliations
Massachusetts Institute of Technology Cambridge MA 02139 USA
Seron Electronics Vancouver BC Canada
References
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