Life-like robots are the emerging frontier research direction in the field of robots in the past decade. The core is to integrate deep physical physics and information on the molecular, cellular and tissue scales of isolated living units and traditional electromechanical structures to form a new type of The robotic system of the life function mechanism enables the robot to combine the advantages of the living system with the advantages of the traditional electromechanical system, such as the high energy conversion efficiency, intrinsic safety of the organism, and the high strength and high repeatability of the electromechanical system. Life-like robots are expected to solve and overcome the current technical bottlenecks and challenges that constrain the development of robots, such as low energy conversion rates, lack of intrinsic safety and compliant drive control, and poor operational flexibility. In recent years, most of the world's related research is based on the bio-driven implementation of cells and tissues, based on simple speed and direction control of light and electricity. Due to the lack of theoretical research on cell-based bio-driven models, life-like robots face key issues and technical challenges such as motion control and dynamics matching.
Recently, the Micro-Nano Group of the Institute of Automation, Shenyang Institute of Chinese Academy of Sciences proposed a cellular mechanical dynamics model based on myocyte subcellular structure to describe the dynamic behavior of myocyte beating. The mechanical and dynamic models of single cardiomyocytes were obtained by simulating the subcellular structure of cardiomyocytes with electromechanical components such as springs, variable damping and motors. In the experimental verification, the cell pulsation curve was obtained by scanning ion conductivity microscopy, and the parameters of the cellular theoretical mechanical dynamics model system were identified according to the measured cell dynamic curve, and the multi-dimensional physical and mechanical properties of the subcellular structure of a single living cell were obtained. Viscosity, elasticity, mass and action potential of the structure). Because the scanning ion-conducting microscope has the characteristics of non-destructive detection of biological samples, and the modeling method based on the subcellular structure of living muscle cells, the multi-dimensional multi-modal physical characteristics (viscosity, elasticity, quality, action) of single-cell subcellular structure can be realized. In situ lossless synchronization acquisition of potential). This study lays a theoretical and technical foundation for the study of dynamic matching and control techniques for life-like robots with muscle cells as driving units.
Relevant research results were published in the BiophysicalJournal and were recommended as highlights. The research was funded by the National Natural Science Foundation of China, the Chinese Academy of Sciences, and the State Key Laboratory of Robotics.
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