Control technology research of building wall spraying robot

Area of Science:

• Robotics
• Human-Computer Interaction
• Construction Engineering

Background:

• Construction industry faces challenges with efficiency, safety, and labor costs.
• Spraying robots can address these issues, but require advanced control.
• Human-Computer Interaction (HCI) offers a promising solution for robot control.

Purpose of the Study:

• To develop a Human-Computer Interaction (HCI) based spraying robot prototype.
• To propose a real-time control method using dynamic gesture recognition.
• To evaluate the effectiveness of HCI control in improving spraying quality and efficiency.

Main Methods:

• Developed a spraying robot prototype utilizing HCI technology.
• Implemented a real-time control method based on dynamic gesture recognition.
• Utilized Support Vector Machine (SVM) algorithm analyzing 21 hand joint distances for gesture classification.

Main Results:

• Achieved high accuracy with maximum errors of 0.89° for head turning and 0.21 mm for the telescopic rod.
• HCI control demonstrated robust performance, maintaining spraying quality under wind interference.
• Comparative experiments showed HCI control's superiority over automatic trajectory operation.

Conclusions:

• HCI control significantly enhances spraying robot performance, improving quality and efficiency.
• Dynamic gesture recognition provides a reliable and accurate method for robot control.
• This technology offers a safer and more cost-effective solution for exterior wall spraying.