Delivery Robot Personal Data Pickup Location
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Solution Overview
Problem
The use of workplace robots that deliver items directly to employees can lead to reduced physical activity and health issues, increasing health costs for companies, as it minimizes the need for employees to walk and engage in physical movement throughout the day.
Innovation Solution
Modifying robots to deliver items based on personal employee data, such as fitness goals and calendar information, to determine alternative delivery locations that encourage employees to walk and meet their exercise objectives, thereby promoting physical activity and overall health.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If robots deliver items directly to employees at their desks, then delivery efficiency and employee convenience are improved, but employee physical activity and health deteriorate
Solution Approach 1:
Instead of delivering items directly to employees at their desks (conventional approach), the system inverts the approach by having employees come to the robot at designated pickup locations. This reversal maintains delivery efficiency while requiring employees to walk to retrieve items, thus addressing the health concern.
Solution Approach 2:
The system introduces an intermediary element - a designated pickup location between the robot and the employee's desk. This intermediary location serves as a meeting point that facilitates efficient item transfer while encouraging employee movement, resolving the contradiction between delivery efficiency and physical activity.
2Loss of time
If robots are deployed to deliver items to employees, then operational costs and time management are improved, but employee health and fitness deteriorate
Solution Approach 1:
The system dynamically determines pickup locations based on real-time factors such as employee fitness goals, current location, and calendar information. This dynamic approach allows the system to optimize both time efficiency and health benefits by adjusting delivery strategies adaptively.
Solution Approach 2:
The system changes key parameters including pickup location, delivery timing, and route selection based on employee personal data such as fitness goals and calendar events. These parameter changes enable the system to balance time management efficiency with health promotion objectives.
3Ease of operation
If items are delivered to employees at their current location, then convenience and productivity are improved, but employee movement and activity levels deteriorate
Solution Approach 1:
The robot system serves multiple functions: it acts as both a traditional delivery vehicle and a health promotion tool. By integrating fitness goal tracking and smart location selection, the system universally addresses both operational efficiency and employee wellness objectives.
Solution Approach 2:
The system incorporates feedback mechanisms by monitoring employee fitness goals, current activity levels, and calendar information to intelligently determine optimal pickup locations. This feedback loop ensures that delivery operations align with both convenience and health promotion objectives.
Data Source
AI summary
In example implementations, a robot that makes deliveries based on personal data and a method for performing the same is provided. The method includes receiving, by a processor of the robot, a request to deliver an item to a recipient. Personal data associated with the recipient is checked and a location to deliver the item to the recipient is determined based on the personal data. The location for delivery of the item is then transmitted to an endpoint device of the recipient.