In order to further improve the intelligence level of the truss manipulator, the following improvement measures are needed:

1. Optimize machine vision technology

Optimizing machine vision technology can improve the ability of robot hands to perceive the environment and get more real and accurate data support. As a result, more autonomous operations and more efficient production can be achieved.

2. Develop more convenient human-computer interaction technology

The development of more convenient human-computer interaction technology can greatly improve the working efficiency of operators. For example, voice interaction applications need to be combined with AI technology to achieve intelligent recognition and processing of voice commands, thereby reducing the work intensity of operators.

3. Carry out applied research on machine learning

The application research of machine learning can make the robot have the ability of autonomous decision and judgment. The computational performance, algorithm interpretation, data security and other issues need to be deeply studied in order to achieve more reliable machine learning applications.

In short, the intelligent development trend of truss manipulators has been irreversible. The promotion of intelligent applications will bring more rapid, efficient and reliable production to the manufacturing industry. At this time, how to further improve the application level of intelligent technology and the intelligent application of truss manipulator, and pursue the independent decision-making and judgment of the machine, is also a topic that needs us to discuss and research.