Robot Autonomous Idle-Time Activity Learning System
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Solution Overview
Problem
Conventional systems lack the ability for robots to autonomously collect information on high-priority activities without human instruction, limiting their ability to learn and share information during idle times.
Innovation Solution
A service providing system equipped with a robot having sensors, recognition units, and a drive device, managed by a robot management device that specifies idle time zones and high-priority activities, allowing the robot to autonomously move to designated locations and collect information, which can then be shared with other robots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a robot waits for direct human instructions to collect information, then the system maintains simple control architecture, but the robot cannot autonomously learn or collect high-priority activity information during idle times
Solution Approach 1:
The robot autonomously identifies its own idle time zones, selects high-priority activities to learn, and executes information collection tasks without continuous human instruction. The robot management device enables self-service by allowing the robot to independently determine when and what to learn during idle periods
Solution Approach 2:
The system performs preliminary identification of idle time zones and pre-selection of high-priority activities before the robot actually executes information collection. The robot management device prepares learning targets in advance based on predicted idle periods and activity priorities
2Productivity
If the robot autonomously performs activities during idle time, then information collection efficiency improves, but the reliability of completing scheduled tasks may deteriorate
Solution Approach 1:
The robot management device dynamically adjusts the robot's schedule by identifying actual idle time zones between scheduled tasks and assigning learning activities within those flexible time windows. This dynamic scheduling ensures that autonomous learning does not conflict with committed task obligations
Solution Approach 2:
The system continuously monitors the robot's task completion status and idle time realization, using this feedback to adjust future learning activity assignments. The robot management device learns from actual task execution patterns to optimize the timing and selection of autonomous learning tasks
3Loss of information
If information is collected only through direct human instruction, then the system operates with simple information flow, but the robot cannot share learned information with other robots
Solution Approach 1:
The robot management device serves multiple functions: it manages individual robot schedules, identifies idle time zones, selects learning activities, and enables inter-robot information sharing through a unified platform. This multi-functional approach consolidates information management complexity into a centralized system
Solution Approach 2:
The robot management device acts as an intermediary between individual robots and the information sharing network. It collects information from robots during autonomous learning, processes and manages this information centrally, and distributes it to other robots that may benefit from the learned knowledge
Data Source
AI summary
A service providing system is equipped with a robot, a robot time zone management unit configured to specify a time zone in which there is no action plan for the robot itself, an activity specifying unit configured to specify an activity that has yet to be experienced by the robot itself or a subject and that is of high priority, and a location specifying unit configured to specify a location where the activity is performed. In the specified time zone, the robot moves to the specified location, performs the specified activity, and provides information obtained through the activity, to the subject.