Wearable Robot Capability Matching for Safe Worker Task Execution
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Solution Overview
Problem
Current solutions fail to automatically configure wearable robotic systems to users based on the context of the activity, leading to potential worker errors, accidents, and injuries in work environments.
Innovation Solution
A computer-implemented method that aggregates worker skills and wearable robotic system capabilities by analyzing activity attributes, worker profiles, and robotic system profiles to guide precise and safe performance, using IoT data feeds and machine learning models to monitor and control worker movements, and prevent dangerous conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wearable robotic systems are deployed without automatic configuration based on activity context, then device complexity is reduced, but worker safety and precision deteriorate
Solution Approach 1:
The system performs preliminary configuration by pre-defining activity profiles with required skills and robotic capabilities. Before a worker performs an activity, the system automatically matches the worker's skills with the required skills and configures the robotic system accordingly, eliminating the need for manual configuration during the activity.
Solution Approach 2:
The system enables self-service by automatically configuring the wearable robotic system based on the activity context and worker profile without requiring external intervention. The computer system autonomously retrieves skills, matches them with activity requirements, and configures the robotic system, making the configuration process self-acting.
2Productivity
If manual configuration of wearable robotic systems is used, then ease of operation is improved, but productivity and safety deteriorate due to potential errors
Solution Approach 1:
The system replaces manual mechanical configuration operations with an automated computer-based system. Instead of manually setting up the robotic system, the computer automatically retrieves worker skills, matches them with activity requirements, and configures the robotic system, substituting human操作 with automated information processing.
Solution Approach 2:
The system uses feedback by continuously monitoring worker skills, activity requirements, and robotic system capabilities to dynamically adjust and optimize the configuration. The computer system retrieves and analyzes skill profiles and activity profiles, using this feedback information to automatically determine the appropriate configuration.
3Measurement precision
If automatic configuration based on skill aggregation is implemented, then worker precision and safety improve, but device complexity and information processing requirements worsen
Solution Approach 1:
The system segments the configuration process into distinct components: worker skill profiles, activity profiles, and robotic system capability profiles. Each profile is independently defined and stored, allowing the computer system to retrieve and aggregate them systematically to determine the appropriate configuration without overwhelming complexity.
Data Source
AI summary
Aggregating worker skills and wearable robotic system capabilities is provided. Details of an activity that a worker is preparing to perform utilizing a wearable robotic system are retrieved. Skills of the worker related to the activity are retrieved. Capabilities of the wearable robotic system related to the activity are retrieved. An analysis of the details of the activity that the worker is preparing to perform utilizing the wearable robotic system, the skills of the worker, and the capabilities of the wearable robotic system is performed. An aggregation of the skills of the worker and the capabilities of the wearable robotic system to perform the activity is determined based on the analysis. It is determined that the worker can perform the activity utilizing the wearable robotic system based on the aggregation of the skills of the worker and the capabilities of the wearable robotic system.