Safety-Metric Feedback for HMI Touch-Interaction Control
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Solution Overview
Problem
Current robotic systems fail to adequately address the subtleties of physical human-robot interaction (pHRI), especially in teleoperated robots within healthcare environments, and do not effectively capture the experiences of both operators and end-users, necessitating improved safety and control protocols.
Innovation Solution
An electronic device that receives touch and control parameters to control human-machine interaction (HMI) devices, determining user responses and safety metrics, and adjusting interactions based on correlation information to enhance safety and comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If robotic systems are integrated into healthcare environments for teleoperated tasks, then productivity and capability are improved, but safety risks and complexity increase
Solution Approach 1:
The system continuously monitors touch parameters (force, position, duration) during robot-user interactions and feeds this information back to the control system. This enables real-time adjustment of robotic actions based on actual physical contact data, ensuring safety while maintaining productivity in teleoperated healthcare tasks
Solution Approach 2:
The patent replaces traditional mechanical safety protocols with a sensor-based digital monitoring system. Instead of relying solely on mechanical safeguards, the system uses touch sensors to detect and analyze physical interactions, converting mechanical contact data into digital control signals for safer robot operation
2Device complexity
If traditional robotic control systems are used, then device complexity is reduced, but measurement precision of physical human interaction is insufficient
Solution Approach 1:
The control system is segmented into multiple independent modules: touch parameter detection module, safety metric calculation module, and control output module. This segmentation allows precise measurement of physical interactions through specialized sensors while keeping each module relatively simple, balancing measurement precision with device complexity
Solution Approach 2:
The patent introduces an intermediary layer of safety metrics that mediates between raw touch parameter data and final control commands. This intermediary layer processes and interprets physical interaction data, enhancing measurement precision without directly increasing the complexity of the control system architecture
3Reliability
If comprehensive safety monitoring is implemented, then safety and reliability are improved, but device complexity and computational requirements increase
Solution Approach 1:
The patent merges multiple safety monitoring functions into a unified system that processes touch parameters (force, position, duration) and generates safety metrics simultaneously. By combining these functions rather than implementing separate monitoring systems for each parameter, the patent reduces overall device complexity while maintaining comprehensive safety monitoring
Solution Approach 2:
The system transforms raw touch parameters into derived safety metrics through parameter changes and mathematical operations. By converting multiple physical parameters into a reduced set of meaningful safety metrics, the system achieves comprehensive monitoring with lower computational complexity
4Ease of operation
If robotic systems operate without comprehensive training protocols, then ease of operation is improved, but safety risks and control accuracy deteriorate
Solution Approach 1:
The system performs preliminary actions by continuously monitoring touch parameters and calculating safety metrics before executing critical robotic commands. This preliminary monitoring and assessment ensures that the robot operates safely and accurately without requiring extensive training, as the system autonomously evaluates interaction safety in real-time
Data Source
AI summary
An electronic device and a method for safety parameter-based touch-interaction control of a human-machine interaction (HMI) device. The electronic device receives touch parameters and control parameters to control a physical-interaction of the HMI device and the user. The electronic device controls the physical interaction of the HMI device, based on the received touch parameters and the received control parameters. The electronic device determines a physical response of the user, based on the control of the physical interaction of the HMI device. The electronic device may determine safety metrics associated with the user, based on the determined physical response and the received touch parameters. Furthermore, electronic device determines correlation information based on the control of the physical-interaction of the HMI device and the determined safety metrics. The electronic device to controls the physical-interaction of the HMI device, further based on the determined correlation information.