A novel teaching system for industrial robots

Area of Science:

• Robotics
• Human-Computer Interaction
• Mechatronics

Background:

• Teach pendants are crucial for industrial robotic arm control.
• Existing systems can be cumbersome, impacting efficiency.
• There is a need for intuitive and rapid robotic arm teaching methods.

Purpose of the Study:

• To develop and evaluate a novel robotic arm teaching system.
• To enhance user experience and task completion efficiency.
• To provide an accurate and stable control method for robotic arms.

Main Methods:

• A teaching system comprising a pen with optical markers, a motion capture system, and a pen tip estimation algorithm.
• Utilizing marker positions from motion capture to calculate the teach pen's pose.
• Employing Fitts' Law to quantitatively assess the system's usability and performance.

Main Results:

• The proposed system accurately calculates the teach pen's pose to control the robot tool frame.
• Fitts' Law analysis confirmed high accuracy, excellent operation performance, and a stable error rate.
• The system demonstrated robust performance across platforms with varying inclination angles.

Conclusions:

• The new teaching system offers a user-friendly and efficient solution for robotic arm operation.
• The system's accuracy and performance are validated by Fitts' Law.
• This technology holds potential for improving industrial robotic arm programming and control.