Sensing and perception technologies provide industrial robots with the ability to acquire information about their own state and the external environment, serving as crucial support for achieving precise control and adapting to complex working conditions. Common sensing technologies include position and velocity sensing, force and torque sensing, and vision sensing, used for real-time feedback on the robot's motion state and the characteristics of the workpiece.
By introducing sensor information, industrial robots can, to a certain extent, perceive and compensate for workpiece position deviations, assembly errors, or external interference, improving operational accuracy and reliability. With the development of visual recognition and multi-sensor information fusion technologies, the adaptability of industrial robots in complex environments is continuously enhanced, and their application scenarios are gradually expanding from fixed workstations to more flexible and varied production tasks.
