A self-powered vector motion sensor for smart robotics and personalized medical rehabilitation

Automatic control sensor system has penetrated into all areas to realize smart robotics, personalized medical rehabilitation and artificial intelligence. As the indispensable component, vector motion sensor with high pre-cision and orientation identification ability can efficiency improve intelligent life experience. Here, we propose a self-powered vector motion sensor based on dual-mode triboelectric nanogenerator, which can simultaneously generate alternative-current signal to monitor vector parameters via pulse signal counts and direct-current signal to directly judge movement direction via presence or absence of signal. By subdividing friction and induction electrodes, the precision of DM-TENG sensor can reach up a record value of 1.7 mu m for displacement sensing and 0.05 degrees for angle sensing, respectively. Meanwhile, it can maintain a good stability after running for 250,000 times. Furthermore, the self-powered DM-TENG sensors have been successfully demonstrated in smart robotics and personalized medical rehabilitation, which greatly promotes the application of self-powered TENG sensors in automatic control sensor system for smart robotics, personalized medical rehabilitation and artificial intelligence.

Automated summary

The self-powered vector motion sensor based on dual-mode triboelectric nanogenerator proposed in this study has high precision and orientation identification ability, and can be applied in smart robotics and personalized medical rehabilitation, playing an important role in automatic control sensor systems.