A Docking Mechanism Based on a Stewart Platform and Its Tracking Control Based on Information Fusion Algorithm.

Area of Science:

• Robotics and Automation
• Mechanical Engineering

Background:

• Unmanned ground vehicles require robust docking solutions for autonomous operations.
• Complex working conditions pose significant challenges to current docking technologies.

Purpose of the Study:

• To design and validate an advanced docking equipment for unmanned ground vehicles.
• To achieve high-precision, automated docking under complex conditions.

Main Methods:

• Development of a docking system featuring a six-degree-of-freedom (6-DOF) active platform and a multi-sensor locking mechanism.
• Implementation of a control method using laser and image sensor information fusion.
• Real-time capture of six-dimensional pose information during the docking process.

Main Results:

• The developed mechanism successfully achieved high-precision docking.
• The system demonstrated smooth docking performance for unmanned ground vehicles.
• Validation of the method's effectiveness and the 6-DOF platform's feasibility through modeling.

Conclusions:

• The proposed docking equipment and control strategy meet the requirements for smooth and precise docking of unmanned ground vehicles.
• The integration of sensor fusion and a 6-DOF platform enables reliable autonomous docking.