Unmanned Vehicle Load Placement Using Environmental Sensing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Unattended delivery methods often result in perishable goods being damaged due to inappropriate placement at transport destinations, especially in high-temperature environments, as they lack the ability to determine optimal placement based on environmental conditions.
Innovation Solution
An information processing device and unmanned mobile body system that acquires load and environmental information to determine and ensure appropriate placement of loads at transport destinations, utilizing sensors and predictive capabilities to minimize temperature influence and ensure timely delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If unattended delivery is performed by placing the load at an entrance or storage, then work cost associated with redelivery is reduced, but the load may be damaged due to inappropriate placement in high-temperature environments
Solution Approach 1:
The system performs preliminary sensing of the environment around the transport destination before placing the load. The sensor detects temperature conditions, and based on this advance information, the unmanned mobile body determines and selects an appropriate placement location that avoids high-temperature areas, thereby preventing load damage before it occurs.
Solution Approach 2:
The system changes the placement location parameter based on environmental conditions. When the sensor detects high temperature at the intended destination, the system adjusts the placement location to a cooler area, dynamically modifying the delivery parameters to ensure load preservation while maintaining delivery efficiency.
2Reliability
If the load is placed in an appropriate place for each load according to the environment, then load preservation is improved, but the complexity of the delivery system increases
Solution Approach 1:
The unmanned mobile body is equipped with sensors that enable it to autonomously sense the environment around the transport destination and independently determine appropriate placement locations. This self-service capability eliminates the need for external intervention or complex centralized control systems, achieving load preservation through simple onboard sensing and decision-making.
Solution Approach 2:
The system replaces complex mechanical placement mechanisms with sensor-based environmental detection and algorithmic location determination. Instead of using complex physical systems to ensure proper placement, the invention uses sensing technology and information processing to automatically identify suitable locations, reducing overall system complexity.
Data Source
AI summary
The information processing device acquires load information of a load to be transported by UGV 1; acquires environmental information obtained by sensing an environment around the UGV by a sensor mounted on the UGV at a transport destination of the load; and determines a place where the load is placed by the UGV at the transport destination on the basis of the load information and the environmental information.