Analysis of the Efficient Use of Energy Based on Soft Robots

Soft robots have advantages in simulation and non-structural environments, and the problem of energy "provision" is one of the bottlenecks in the development of soft robots. This article reports the progress in the effective technology for the provision and use of soft robot energy, including the progress of core key technologies such as self-power actuation of soft robots, energy efficiency optimization of gas-driven systems, and intelligent energy management systems. The article focuses on the research progress of environmental mechanical energy collection and self-actuation possibilities of Triboelectric nanogenerator (TENG). Besides, it analyzes the advantages of exhaust gas energy consumption and use provided by Internal Exhaust Air Recirculation (IEAR) technology and bidirectional pneumatic actuators in gas-driven systems. Lastly, it outlines the energy management system method of soft robots based on "mechanical intelligence" or "adaptive" algorithm. The article emphasizes the shortcomings of soft robots in terms of energy density, integration and environmental adaptability. If the problems of energy integration, intelligent energy scheduling and system integration can be solved, the long-term autonomous operation of soft robots in complex environments can be realized.