Intelligent Service Robot Interface Command Analysis
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Solution Overview
Problem
Current user interfaces for service robots lack the ability to accurately analyze user commands and provide feedback on user satisfaction, leading to inefficient interaction and reduced reliability between humans and robots in shared spaces.
Innovation Solution
A user interface apparatus and method that includes an interaction server for analyzing user commands, determining the degree of difficulty, and selecting an appropriate operating mode for the service robot, using modules for voice, facial expression, and keyword analysis, along with artificial intelligence algorithms to calculate user satisfaction and adjust the robot's operating mode accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional user interfaces are used for service robots, then device complexity is reduced, but user satisfaction and interaction reliability deteriorate due to inability to accurately analyze user commands
Solution Approach 1:
The user interface is segmented into multiple specialized analysis modules: voice analysis module for auditory commands, facial expression analysis module for visual gestures, and keyword analysis module for text-based inputs. Each module processes specific types of user commands independently, improving analysis accuracy while managing complexity through functional decomposition
Solution Approach 2:
An index block acts as an intermediary component that receives analyzed commands from various modules, determines the degree of difficulty, and selects appropriate operating modes. This mediator coordinates between multiple analysis modules and the robot control system, enabling accurate command interpretation without requiring direct complex integration between all components
2Reliability
If multiple analysis modules are added to improve command understanding, then user satisfaction improves, but device complexity increases
Solution Approach 1:
The interaction server is designed as a universal platform that integrates multiple analysis functions (voice, facial expression, keyword) within a single system architecture. This multi-functional design improves interaction reliability by handling various command types through one coordinated system rather than requiring separate independent systems for each function
Solution Approach 2:
The robot control server dynamically selects operating modes (autonomous mode, semi-autonomous mode, teleoperation mode) based on the determined degree of difficulty from the index block. This dynamic adaptation allows the system to adjust its complexity in real-time, using simpler modes for easy tasks and more complex modes only when necessary, thereby improving reliability without permanently increasing system complexity
3Ease of operation
If the robot autonomously determines operating mode based on command difficulty, then ease of operation improves, but loss of information increases due to potential misinterpretation
Solution Approach 1:
The command performance result output unit provides feedback to the user by outputting results of performance of the received control command and the degree of satisfaction with the performance. This feedback loop allows users to verify command interpretation and robot execution, reducing information loss by confirming that the robot understood and executed the intended command correctly
Solution Approach 2:
The index block performs preliminary analysis by determining the degree of difficulty of each analyzed control command before the robot executes the action. This preliminary assessment allows the system to select the appropriate operating mode in advance, ensuring that commands are interpreted with the correct level of autonomy and supervision, thereby preventing misinterpretation while maintaining ease of operation
Data Source
AI summary
Disclosed herein is a user interface apparatus and control method for the control of service robots. The user interface apparatus for the control of service robots includes an interaction server, an index block, and a robot control server. The interaction server receives control commands to control a service robot from a user, analyzes the control commands, and outputs the results of the analysis to the user. The index block determines the degree of difficulty of each of the analyzed control commands. The robot control server determines the operating mode of the service robot depending on the analyzed control command and the degree of difficulty, and controls the service robot in the determined operating mode.