Magnetic composite butt joint self-reorganization snake robot and control method thereof
By using a mechanical-magnetic composite docking structure combining passive and active self-reassembly modules, along with deformable hook slots and Halbach array electromagnets, the problems of low docking tolerance and insufficient docking force in existing self-reassembly snake robots are solved. This achieves efficient and stable docking and autonomous power supply, improving the robot's working stability and endurance.
Patent Information
- Application Number
- CN202610020474.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-08
- Publication Date
- 2026-06-16
- Estimated Expiration
- 2046-01-08
AI Technical Summary
Existing self-reassembling snake robots suffer from problems such as low docking tolerance, insufficient interface bonding force, weak resistance to external disturbances, high power consumption, limited structural strength, simple composite logic, insufficient precision in component matching, poor environmental adaptability, and insufficient functional module differences and task adaptability in mechanical, magnetic, and mechanical-magnetic composite docking structures. These issues affect their working stability, endurance, and application scope.
It adopts a mechanical-magnetic composite docking structure with passive self-reassembly module and active self-reassembly module, combined with deformable hook slot and composite deformable hook system, and uses Halbach array electromagnet and hook top electromagnet to achieve dual connection constraint. It also constructs an autonomous power supply system through piezoelectric generator and triboelectric nanogenerator, and integrates Hall sensor for magnetic field detection and control.
It improves the structural stability and load-bearing capacity after docking, reduces the alignment difficulty during docking, extends the robot's continuous working time, improves the efficiency and success rate of self-reassembly operation, realizes the automation and intelligence of the self-reassembly process, and enhances the adaptive adjustment capability in complex environments.