Key technologies of Intelligent collaborative robot arm

Sensor technology: Visual sensors are used to identify information such as the shape, position and color of objects; force sensors can sense the force and torque between the robot and external objects to achieve force control operations; distance sensors are used to detect distance information of the surrounding environment to assist obstacle avoidance and path planning.

Control technology: Advanced motion control algorithms ensure that the robot arm can move accurately and smoothly, and achieve coordinated control of multiple joints.

Human-computer interaction technology: Through technologies such as voice recognition and gesture recognition, natural interaction between humans and robot arms is achieved; graphical programming interfaces and teaching programming allow operators to intuitively control and program robots.

Artificial intelligence technology: Machine learning algorithms enable robot arms to learn and optimize their own behavior patterns through a large amount of data, improving their adaptability to different tasks and environments; deep learning technology further enhances the robot's perception and decision-making capabilities.