Service Robot Behavior Switching for Dynamic Operation Modes
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Solution Overview
Problem
Service robots face challenges in adapting their operation modes and behaviors to dynamically changing environments and user needs, as existing technologies rely primarily on rule-based behaviors that limit adaptability and performance optimization.
Innovation Solution
A method and apparatus that utilize processing circuitry to measure evaluation indices based on sensor data, determining operation modes and selecting between rule-based and training-based behaviors to optimize performance, safety, and adaptability, allowing the service robot to switch between modes and behaviors in real-time based on predefined conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If rule-based behaviors are used for service robot operation, then the robot operates reliably according to predefined algorithms, but the robot's adaptability to dynamically changing environments and user needs is limited
Solution Approach 1:
The patent implements dynamic operation mode switching that allows the robot to transition between different operation modes (first operation mode with rule-based behavior and second operation mode with training-based behavior) based on real-time evaluation of service situations. This dynamic adaptation resolves the contradiction by making the robot's behavior flexible rather than static, allowing it to maintain reliability through rule-based operations when appropriate while adapting to changing environments through training-based operations when needed.
Solution Approach 2:
The patent changes the operational parameters of the robot by switching between different operation modes and selecting different behaviors based on evaluation indices. The controller adjusts the robot's behavior parameters dynamically by selecting from multiple predefined behaviors or generating new behaviors through training, thereby resolving the contradiction between reliable predefined operation and adaptive response to changing conditions.
2Productivity
If the robot switches between multiple operation modes and behaviors, then the robot's performance and adaptability improve, but the complexity of the control system increases
Solution Approach 1:
The patent segments the robot's operation into distinct operation modes (first operation mode and second operation mode), each with specific behaviors suited for different service situations. This segmentation allows the complex control system to be organized into manageable, situation-specific modules, improving service performance while keeping the complexity organized and controllable through clear mode boundaries and selection criteria.
Solution Approach 2:
The patent implements a feedback mechanism where the controller continuously evaluates service situations using evaluation indices and sensor data, then selects appropriate operation modes and behaviors based on this feedback. The system monitors its own performance and adapts by switching modes when evaluation indices indicate improved service can be provided, thereby managing complexity through intelligent decision-making rather than hardwired complex control logic.
3Adaptability or versatility
If training-based behaviors are selected for complex service situations, then the robot's adaptability improves, but the time and computational resources required for behavior selection and execution increase
Solution Approach 1:
The patent prepares multiple predefined behaviors in advance for different operation modes, so that when a service situation arises, the controller can quickly select from pre-prepared options rather than generating behavior from scratch. This preliminary preparation of behaviors reduces the time required for behavior selection while maintaining high adaptability, as the system has already computed potential behaviors and stored them for rapid deployment when needed.
Data Source
AI summary
A method and apparatus for controlling an operation of a service robot is disclosed. The method includes measuring, by processing circuitry, an evaluation index of the service robot based on sensor data in a service mode; determining, by the processing circuitry, an operation mode of the service robot from a set of at least two operation modes based on the measured evaluation index; selecting, by the processing circuitry, a behavior to be applied to the operation of the service robot from a set of at least two behaviors based on the operation mode; and controlling, by the processing circuitry, the operation of the service robot based on the behavior.