Marker-Guided Autonomous Robot Control for Fast Reliable Actions
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Solution Overview
Problem
Existing autonomous mobile bodies require a significant amount of time to execute desired actions and may fail to act as intended by the user, leading to unreliable performance.
Innovation Solution
An autonomous mobile body equipped with a recognition unit, an action planning unit, and a motion control unit that recognizes markers and plans and executes actions accordingly, allowing for quick and reliable execution of desired motions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If autonomous mobile body executes learning related to pattern recognition to increase recognizable targets and diversify actions, then the capability and versatility are improved, but the time required to execute desired actions increases
Solution Approach 1:
The system performs preliminary classification of recognized objects into predetermined categories (food, obstacle, toy, etc.) and pre-plans appropriate actions for each category. When an object is recognized, the system immediately retrieves and executes the pre-determined action corresponding to that category, eliminating the need for time-consuming learning and decision-making during execution.
2Adaptability or versatility
If autonomous mobile body uses learning-based pattern recognition, then recognizable targets increase, but reliability of action execution decreases
Solution Approach 1:
The system segments the recognition and action planning processes into distinct stages: object recognition, classification into predetermined categories, and execution of category-specific actions. This segmentation ensures that each stage has a clear, deterministic function, improving reliability while maintaining versatility through the comprehensive category system.
Solution Approach 2:
The system incorporates feedback mechanisms where the autonomous mobile body continuously monitors execution results and adjusts its classification and action selection. This feedback loop ensures reliable action execution by verifying that the chosen action achieves the desired outcome and making corrections if necessary.
Data Source
AI summary
The present technology relates to an autonomous mobile body, an information processing apparatus, an information processing method, and a program that enable the autonomous mobile body to quickly or reliably execute a desired action.The autonomous mobile body includes: a recognition unit that recognizes a marker; an action planning unit that plans an action of the autonomous mobile body with respect to the marker; and a motion control unit that controls a motion of the autonomous mobile body so as to perform a planned action. The present technology can be applied to, for example, an autonomous mobile robot having a shape imitating an animal and movement capability.