A self-growing robot and an environmental exploration method thereof
Through the design of a self-growing robot driven by array-type flexible sensing units and pneumatic artificial muscles, combined with proximity sensors and gyroscopes, the problem of self-growing robots' poor exploration of environmental obstacles is solved, and efficient environmental exploration and navigation are achieved.
CN119589640BActive Publication Date: 2025-10-17BEIHANG UNIV
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Patent Information
- Application Number
- CN202411975428.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-31
- Publication Date
- 2025-10-17
- Estimated Expiration
- 2044-12-31
AI Technical Summary
Technical Problem
Existing self-growing robots find it difficult to effectively explore environmental obstacle information while maintaining compliance, and have difficulty navigating in low-light environments and confined spaces.
Method used
The self-growing robot is designed with array-type flexible sensing units and pneumatic artificial muscles, combined with proximity sensors and gyroscopes, using collision to explore unknown environments and adopting a depth-first strategy for environmental exploration.
Benefits of technology
Achieve a higher environment exploration rate in fewer exploration times, cover a larger area, reduce uncertainty, and adapt to narrow and low-light environments.
✦ Generated by Eureka AI based on patent content.
Abstract
The application discloses a self-growing robot and an environment exploration method thereof, and comprises a driving storage mechanism, a plastic film body, a flexible sensing unit, a signal receiving module, pneumatic artificial muscles arranged on the inner wall of the plastic film body and a terminal guiding sensing mechanism; the flexible sensing unit is attached to the surface of the plastic film body, the sensing unit is designed in an array mode, the detection of obstacles in the environment is realized while the flexibility is ensured, the terminal guiding sensing mechanism is used for sensing the posture of the robot, and the information of the proximity sensor, the encoder and the gyroscope can be combined to realize navigation in the unknown environment; in addition, the pre-bending is set according to the environment obstacle information, the robot growth is guided by the environment obstacles, the pneumatic artificial muscles can cover a larger area, the proximity sensor is used to detect the corner points in the environment, and the depth-first strategy is adopted to explore the environment, so that a higher environment exploration rate can be realized in a smaller number of exploration times.
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