Robot Passage Control for Narrow Building Areas
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Solution Overview
Problem
In confined areas, multiple self-driving robots face increased collision and interference risks, leading to inefficient movement and service provision due to the lack of effective coordination in navigating narrow passages within buildings.
Innovation Solution
A robot control method and system that identifies specific areas for robot passage, controls robots to enter through defined points, and triggers a specific area driving mode to ensure sequential and interference-free passage, using resource management to assign available points and maintain predetermined distances between robots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple robots operate autonomously in confined areas without centralized coordination, then each robot can independently navigate and provide services, but collision and interference risks increase significantly
Solution Approach 1:
A centralized control system acts as an intermediary between multiple robots, receiving location and status information from each robot and issuing coordinated control commands. This mediator prevents collisions by managing robot movements in confined areas, resolving the contradiction between autonomous operation and collision avoidance.
Solution Approach 2:
The control system continuously receives feedback from robots about their locations, speeds, and operational status. Based on this real-time feedback, the system dynamically adjusts control commands to maintain safe distances and prevent collisions, while optimizing movement efficiency through coordinated routing.
2Productivity
If robots are densely located in confined areas to provide services, then service coverage increases, but the probability of collision and interference between robots and objects increases
Solution Approach 1:
The confined area is divided into multiple zones or segments, and robots are assigned to specific zones or time slots for operation. This segmentation reduces the density of robots in any single location, lowering collision probability while maintaining overall service coverage through coordinated multi-zone operation.
Solution Approach 2:
The control system dynamically adjusts robot speeds, routes, and operational parameters based on real-time conditions in confined areas. When robot density increases in a region, the system dynamically modifies movement patterns and timing to prevent collisions, enabling high service coverage without proportionally increasing collision risk.
3Reliability
If a centralized control system coordinates robot movements in confined areas, then collision risk decreases, but system complexity increases
Solution Approach 1:
The centralized control system applies partial coordination only when robots enter confined areas, rather than continuously controlling all robot movements throughout the entire operational space. This selective application of centralized control reduces system complexity while maintaining reliability where it is most needed - in confined areas with high collision risk.
Data Source
AI summary
Provided is a method for controlling, in a space where a plurality of robots autonomously travel, the robots such that each of the plurality of robots can successively pass through a designated region, by identifying the designated region to be passed through by the robots and i) controlling the robots to pass through the corresponding designated region via a first point defined in the designated region or ii) triggering a designated region traveling mode of the robots and controlling the robots to pass through the corresponding designated region in the designated region traveling mode.