一种考虑操作习惯和疲劳状态的个性化轮椅控制方法
By installing powered omnidirectional wheels and ultrasonic sensors on a wheelchair robot, and combining pressure sensors and fuzzy reinforcement learning, a human-machine shared control framework was established. This solved the problem of obstacle avoidance and fulfilling the user's autonomous movement intentions in confined environments, enabling elderly users to operate the robot safely and move comfortably.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENYANG UNIVERSITY OF TECHNOLOGY
- Filing Date
- 2024-04-19
- Publication Date
- 2026-07-17
AI Technical Summary
Existing wheelchair robots struggle to achieve precise obstacle avoidance in confined spaces and cannot meet the autonomous movement intentions and safe control needs of elderly users. Traditional control methods also fail to take into account users' operating habits and fatigue levels.
The wheelchair robot is equipped with four omnidirectional powered wheels and ultrasonic sensors for environmental detection. Combined with pressure sensors to identify the user's directional intentions, a human-machine shared control framework is established through fuzzy rules and fuzzy reinforcement learning. By integrating user operating habits and fatigue status, the obstacle avoidance control of the wheelchair robot can be achieved.
It improves the accuracy and safety of obstacle avoidance in confined environments, enhances user autonomy and comfort, and ensures safe movement under different operating habits and fatigue conditions.
Smart Images
Figure CN118383954B_ABST