Self-powered deep-UV photodetectors based on (In,Ga)O nanowires for humanoid robots controlling

Abstract

Self-powered ultraviolet (UV) photodetectors hold significant commercial and practical value and are expected to be one of the next-generation optoelectronic devices requiring ultralow energy consumption. This work proposes and demonstrates a self-powered deep-UV photodetector based on (In,Ga)O nanowires. By introducing the oxidation method, (In,Ga)O nanowires can be achieved cost-efficiently. Owing to the appropriate energy level alignment, this self-powered photodetector is proved to hold the light-power-density-dependent. Moreover, by the manipulation of a humanoid intelligent robot, the application potential of the self-powered photodetector is demonstrated. Coming from the self-powered photodetector, the control commands can drive the humanoid robot to perform actions. Therefore, the design and demonstration of (In,Ga)O nanowires hold significant reference value for further developing the photodetectors and broadening their applications in ultralow-power detection systems, humanoid intelligent robots, etc.