Cloud-Coordinated Robot Path Adjustment for Obstacle Avoidance
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Solution Overview
Problem
Existing robot control systems are inefficient in dynamically adjusting the moving paths of multiple robots due to environmental obstacles, often leading to suboptimal paths and requiring manual intervention.
Innovation Solution
A method and system for remotely controlling robots that utilize cameras and cloud servers to detect obstacles, generate detour paths, and redistribute mission assignments among robots, allowing for efficient path adjustments and obstacle management without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If detour path is generated in units of robots after obstacles are detected, then each robot can avoid obstacles individually, but robots move to inefficient paths because obstacle information is not shared across robots
Solution Approach 1:
The patent merges obstacle detection information from multiple robots into a centralized cloud server. When any robot detects an obstacle, this information is uploaded to the cloud server and subsequently shared with all other robots in the system, enabling collective awareness and coordinated path planning that avoids redundant detours
Solution Approach 2:
The system implements a feedback mechanism where obstacle detection results from one robot are fed back to the cloud server, which then redistributes this information to all robots. This closed-loop information flow ensures that obstacle data is continuously updated and shared across the entire robot fleet, improving overall movement efficiency
2Reliability
If a robot encounters an obstacle and must change its path, then the robot can avoid the obstacle, but mission completion time increases due to path changes and potential manual intervention
Solution Approach 1:
The cloud server pre-calculates and stores multiple alternative paths for each robot mission before deployment. When an obstacle is detected, the system can immediately assign a pre-computed alternative path without requiring real-time path planning or manual intervention, thus minimizing time loss while maintaining reliable obstacle avoidance
Solution Approach 2:
The robot system performs self-service by automatically detecting obstacles, communicating this information to the cloud server, and receiving updated path instructions without human intervention. This autonomous operation reduces the time loss associated with manual path re-planning while ensuring reliable obstacle avoidance
3Device complexity
If multiple robots operate independently without centralized coordination, then system complexity is reduced, but path optimization across the robot fleet cannot be achieved
Solution Approach 1:
The patent introduces a cloud server as an intermediary that coordinates path planning for multiple robots without requiring complex direct-to-direct communication between robots. The server receives obstacle information from any robot, processes this data centrally, and distributes optimized path instructions to all relevant robots, achieving fleet-wide path efficiency while keeping individual robot complexity low
Data Source
AI summary
The present invention relates to remotely controlling robots and provides a method and a system, for remotely controlling robots, that are capable of controlling moving paths of a plurality of robots. The method for remotely controlling traveling robots comprises the steps of: controlling a specific robot to move along a preset first path; receiving an obstacle event for a specific area of the first path; generating a second path avoiding the specific area on the basis of the obstacle event; and controlling the specific robot so that same moves along the second path, wherein the destination of the second path is related to the destination of the first path.