Mobile Robot local paths planning method on the basis of binary environmental information
A technology for local path planning and mobile robots, applied in manipulators, road network navigators, program-controlled manipulators, etc., can solve the problems of high sensor requirements, low real-time performance, and large amount of calculation, so as to improve execution efficiency and reduce hardware. Configuration requirements, the effect of short planning time
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2007-11-28
- Estimated Expiration
- Not applicable · inactive patent
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Abstract
Description
technical field
[0001] The invention relates to a local path planning method, which is suitable for the local path planning of a class of wheeled walking mobile robots. Background technique
[0002] The task of path planning for a mobile robot is to find an appropriate movement path from a given starting point to an end point in a working environment with obstacles, so that the robot can bypass all obstacles safely and without collision during the movement. The path planning of the mobile robot mainly solves three problems: (1) enable the robot to move from the initial point to the target point; (2) use a certain algorithm to enable the robot to avoid obstacles and pass through certain points; (3) On the premise of completing the above tasks, try to optimize the trajectory of the robot.
[0003] According to the working environment, the path planning model can be divided into two types: model-based global path planning, where all the information of the operating environment...
Examples
Embodiment Construction
[0039] During the autonomous walking process of the mobile robot, the local path planning method needs to be executed at regular intervals, that is, the present invention generates the current local optimal path and provides it to the navigation and control system.
[0040] The execution period of the process of the local path planning method of the present invention can be divided into two modes: fixed-period execution and variable-period execution. The frequency of the local path planning process is high when the fixed cycle is executed, and the primary goal is to obtain environmental information as accurately as possible and reduce misjudgment; when the variable cycle is executed, the frequency of the local path planning process changes dynamically, and the primary goal is to successfully avoid known obstacles. Different forms can be selected according to different application objects. If the environmental information perceived by the sensor is not accurate enough (for exam...