Mobile Body Following Control for Remote Operation Risk Areas
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Solution Overview
Problem
Existing methods for remotely operating multiple autonomous vehicles or robots in a risk area are ineffective when one vehicle cannot be remotely operated or monitored, leading to unreliable remote operation and increased safety risks.
Innovation Solution
An information processing method that predicts which vehicle will enter a risk area and instructs another vehicle to follow it, allowing for reliable remote operation by narrowing down the vehicles in the risk area to those that can be safely operated.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple mobile bodies are located simultaneously in a risk area requiring remote operation or monitoring, then the system can handle more traffic flow, but the reliability of remote operation decreases because one mobile body cannot be reliably operated or monitored
Solution Approach 1:
The system segments mobile bodies into different groups based on their arrival times at the risk area. By predicting which mobile body will enter first and assigning it as the primary remote operation target, the system divides the control burden into manageable segments, ensuring reliable remote operation for the lead mobile body while others can proceed autonomously or in follow-up sequences.
Solution Approach 2:
The system performs preliminary prediction of mobile body arrivals at the risk area before they actually enter. By anticipating which mobile body will need remote operation first and preparing the remote operation resources in advance, the system ensures that remote operation capability is ready and assigned to the correct mobile body, maintaining reliability even as traffic flow increases.
2Productivity
If all mobile bodies enter the risk area autonomously without remote operation preparation, then the system maintains high productivity, but safety risks increase due to lack of remote monitoring capability
Solution Approach 1:
The system takes preliminary action to prevent safety risks by predicting which mobile body will enter the risk area first and pre-assigning remote operation capability to it. This preventive measure ensures that remote monitoring and intervention capability is already in place before the mobile body enters the hazardous zone, counteracting potential safety issues before they can manifest.
Solution Approach 2:
The system continuously monitors the positions and statuses of all mobile bodies, using this feedback to update predictions and remote operation assignments in real-time. This closed-loop control ensures that the system maintains awareness of which mobile body requires remote attention and can dynamically adjust resources to maintain safety while preserving throughput.
Data Source
AI summary
An information processing method includes: obtaining travel information on travel of mobile bodies capable of autonomous travel and remote operation and/or monitoring; predicting, based on the travel information and location information on a first area in which the remote operation and/or monitoring is required, a first mobile body having a travel route scheduled to pass through the first area and being to enter the first area; identifying, based on the travel information and the location information, a second mobile body having a travel route scheduled to pass through the first area; determining whether the second mobile body catches up with the first mobile body before the first mobile body enters the first area; and outputting instruction information for causing the second mobile body to perform following control to follow the first mobile body, when the second mobile body catches up with the first mobile body.