Bubble

SIGNAL (programming language)

Robot

Engineering

Materials science

Hall effect sensor

Parallel computing

Computer science

Maximum bubble pressure method

Interface (matter)

Triboelectric effect

Robotics

Artificial intelligence

Composite material

Programming language

Piezoelectricity

Nanogenerator

Bearing (navigation)

Magnet

Reciprocating motion

Computer vision

Electrical engineering

Advanced Materials

Automatic control systems are the most efficient technology for reducing labor cost while improving work efficiency. Vector motion monitoring is indispensable for the normal operation of automatic control systems. Here, a self-powered dual-type signal triboelectric nanogenerator (DS-TENG) is designed through integrating an alternating-current TENG and a direct-current TENG, which can monitor vector movement in real time based on pulse signal counts. As a result, the DS-TENG avoids the shortcoming of traditional self-powered sensors based on signal amplitude that is sensitive to the working environment, achieves a high sensing precision, and maintains stability after reciprocating motion of 500 000 cycles. Moreover, it realizes effective movement direction recognition by self-powered switching of signal type in reverse movement. This dual-type signal TENG exhibits high precision and automatic direction recognition in vector motion monitor and trajectory tracker, paving the way for the application of the self-powered TENG sensor in automatic control systems in the future.

A Self‐Powered Dual‐Type Signal Vector Sensor for Smart Robotics and Automatic Vehicles