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Route planning and scheduling system and method for multiple robots

A dispatching system and path planning technology, applied in control/adjustment system, vehicle position/route/height control, instruments, etc., can solve problems such as difficult to choose a reasonable walking path, failure to avoid obstacles, etc., to facilitate later maintenance and increase speed , the effect of improving accuracy

Active Publication Date: 2020-01-24
GUANGZHOU SAITE INTELLIGENCE TECH CO LTD
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

However, these walking methods cannot be predicted in advance, especially when the walking environment changes. For example, when there are multiple robots in the walking environment, it is easy for multiple robots to fail to avoid obstacles in narrow road conditions and get stuck on the same road. For an overall system composed of multiple robots, it is difficult to reasonably choose the optimal walking path

Method used

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  • Route planning and scheduling system and method for multiple robots
  • Route planning and scheduling system and method for multiple robots
  • Route planning and scheduling system and method for multiple robots

Examples

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Embodiment Construction

[0048] A path planning and scheduling system for multiple robots, such as figure 1 As shown, it includes a plurality of robots, as well as a route environment planning unit and a scheduling unit, and each robot is provided with a main control unit and an algorithm unit.

[0049] The route environment planning unit is used to plan all driving routes according to the working environment, and through the starting point, target point and transition point on each route, the route is segmented and fragmented into several road sections, and each road section is connected to form a network structure, and Determine the road condition information of each road section (including information such as the length of each road section, walking time, walking complexity, and the number of obstacles on each road section), and combine the network structure information (including network structure and road condition information, the network structure mainly refers to each section. The connection r...

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Abstract

The invention discloses a route planning and scheduling system for multiple robots. The system comprises the multiple robots, a route environment planning unit and a scheduling unit, wherein a main control unit and an algorithm unit are arranged on each robot; the route environment planning unit is used for fragmenting all travel routes, forming network structure information and updating the information in real time; the scheduling unit issues a walking task to each main control unit and collects state information of all the robots; each main control unit plans an optimal route of the corresponding robot; each algorithm unit controls walking or obstacle avoidance according to the corresponding optimal route and relevant outside environment information; and all the routes are scored according to scoring rules for optimal route planning. The route planning and scheduling system aims at collaborative unified scheduling among the multiple robots in the system, the walking environment is predicted in advance by updating the state information of all the robots and road condition information in real time, optimization is performed continuously, blockage is avoided, the robots can walk more smoothly and more flexibly, and the purpose of system self-learning is achieved.

Description

technical field [0001] The invention relates to the field of robot control systems, in particular to a system and method for path planning and dispatching of multiple robots. Background technique [0002] At present, with the maturity of sensing technology and automatic control technology, domestic robots have been able to realize the traditional walking mode in an environment where the environment is basically determined, that is, by solidifying the preset path on the robot, the robot can walk automatically and It can realize real-time obstacle avoidance according to the scene environment. However, these walking methods cannot be predicted in advance, especially when the walking environment changes. For example, when there are multiple robots in the walking environment, it is easy for multiple robots to fail to avoid obstacles in narrow road conditions and get stuck on the same road. For an overall system composed of multiple robots, it is difficult to reasonably choose th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/02
CPCG05D1/0236G05D1/024G05D1/0242G05D1/0246G05D1/0255G05D1/0257G05D1/0223G05D1/0221G05D1/0278G05D1/0276Y02P90/02
Inventor 李斌陈桂芳李睿赖志林
Owner GUANGZHOU SAITE INTELLIGENCE TECH CO LTD
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