Service Robot Route Planning Using Pedestrian Heat Grids
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Solution Overview
Problem
Current multi-service robot service route planning methods use a uniform area division approach, leading to inefficient service delivery and excessive energy consumption, as they do not account for varying service demands across different locations.
Innovation Solution
A method that involves acquiring images of the service area, performing pedestrian heat recognition to identify high-demand grids, and allocating these grids to service robots, determining the optimal robot for each sub-area based on intersection size, and generating efficient service routes using genetic algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full coverage route planning is conducted for the entire area, then service coverage is complete, but energy consumption increases and service efficiency decreases
Solution Approach 1:
The patent applies local quality by transitioning from uniform service coverage to differentiated service zones based on pedestrian heat. The area is divided into high-demand zones (with pedestrians) and low-demand zones (without pedestrians), allowing the robot to concentrate service efforts where needed while reducing or skipping service in areas without demand, thereby lowering energy consumption while maintaining necessary service coverage.
Solution Approach 2:
The patent implements partial action by performing service only on portions of the area that actually require it (high pedestrian heat zones) rather than conducting full coverage service. The robot identifies and serves only the necessary sub-areas, avoiding wasteful service in low-demand regions, thus reducing energy consumption while maintaining adequate service levels.
2Reliability
If full coverage route planning is conducted for the entire area, then service coverage is complete, but service efficiency decreases
Solution Approach 1:
The patent applies local quality by transitioning from uniform service coverage to differentiated service zones based on pedestrian heat. The area is divided into high-demand zones (with pedestrians) and low-demand zones (without pedestrians), allowing the robot to concentrate service efforts where needed while reducing or skipping service in areas without demand, thereby lowering energy consumption while maintaining necessary service coverage.
Solution Approach 2:
The patent implements partial action by performing service only on portions of the area that actually require it (high pedestrian heat zones) rather than conducting full coverage service. The robot identifies and serves only the necessary sub-areas, avoiding wasteful service in low-demand regions, thus reducing energy consumption while maintaining adequate service levels.
3Reliability
If the robot serves the entire area uniformly, then all locations receive service, but energy is wasted in areas without service demand
Solution Approach 1:
The patent applies local quality by transitioning from uniform service coverage to differentiated service zones based on pedestrian heat. The area is divided into high-demand zones (with pedestrians) and low-demand zones (without pedestrians), allowing the robot to concentrate service efforts where needed while reducing or skipping service in areas without demand, thereby lowering energy consumption while maintaining necessary service coverage.
Solution Approach 2:
The patent implements feedback by using real-time pedestrian detection data to dynamically adjust service routing decisions. The robot continuously monitors pedestrian heat in different areas and uses this feedback information to determine whether to serve or skip particular zones, ensuring energy is not wasted in areas without current service demand while maintaining availability where needed.
Data Source
AI summary
The present disclosure relates to methods related to robot services, related systems, and readable storage media. According to some embodiments of the present disclosure, there is provided a method, including: acquiring images of an area to be served, wherein the area to be served includes serviceable grids obtained by performing equal-area grid division on the area to be served; performing pedestrian recognition on the images to acquire pedestrian heat of each serviceable grid within the preset time period; and marking a serviceable grid with the pedestrian heat exceeding a preset threshold and serviceable grids within a preset range centered on it as grids to be served, obtaining a sub-area to be served composed of the grids to be served.