Robot Abnormal Situation Recognition and Handling
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Solution Overview
Problem
Robots in home environments struggle to recognize and handle abnormal situations effectively due to unpredicted information and uncertainty in operational situations, often misidentifying such events as input errors or ignoring them altogether.
Innovation Solution
A robot equipped with a sensing unit, storage unit, inference model, learning model, and controller that selects services and handling tasks based on user commands or inferred models to determine and address abnormal situations, creating learning models when necessary to handle unforeseen circumstances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a robot uses predefined rules and hierarchical data structures to recognize situations, then recognition capability for environmental situations is enhanced, but the robot cannot appropriately handle abnormal situations that do not match determined situations
Solution Approach 1:
The robot dynamically switches between different operational modes: normal operation mode for predefined situations and abnormal situation handling mode for unpredictable events. The system adapts its recognition and handling strategies based on whether the current situation matches predetermined patterns, allowing flexible response to both expected and unexpected scenarios
Solution Approach 2:
An abnormal situation determination unit acts as an intermediary between the situation recognition unit and handling task selection. This intermediary component analyzes whether recognized situations match predetermined situations and routes to appropriate handling procedures when mismatches occur, enabling the robot to appropriately respond to abnormal situations while maintaining the benefits of predefined recognition structures
2Stability of the object's composition
If a robot continues to explore surroundings or ignores mismatched situations, then the robot maintains its predefined operational structure, but the robot fails to handle abnormal situations appropriately
Solution Approach 1:
The system implements feedback through the abnormal situation determination unit that continuously monitors whether recognized situations match predetermined situations. When a mismatch is detected, the system provides feedback to switch to abnormal situation handling modes, ensuring that structural stability is maintained while appropriately responding to abnormal conditions through structured feedback loops
3Productivity
If a robot uses only predefined data for situation recognition, then the robot operates efficiently within defined parameters, but the robot cannot recognize abnormal situations caused by noise or uncertainty
Solution Approach 1:
The robot dynamically adapts its recognition approach by switching between relying on predefined data for normal operations and utilizing abnormal situation determination mechanisms when unpredicted information is detected. This dynamic adaptation allows efficient operation within defined parameters while maintaining capability to recognize and handle abnormal situations caused by noise or uncertainty
Data Source
AI summary
A robot and method to recognize and handle abnormal situations includes a sensing unit to sense internal and external information of the robot, a storage unit to store the information sensed by the sensing unit, an inference model, a learning model, services providable by the robot, subtasks to provide the services, and handling tasks to handle abnormal situations, and a controller to determine whether an abnormal situation has occurred while the subtasks to provide the selected service are being performed through the learning model in the storage unit and to select a handling task to handle the abnormal situation through the inference model in the storage unit if it is determined that the abnormal situation has occurred. The robot may recognize and handle abnormal situations even though data other than that defined by a designer of the robot is input thereto due to noises or operational environment.