Wearable Robot Assistance Profile Optimization
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Solution Overview
Problem
Conventional wearable robots provide uniform assistance power without adjusting based on user body response, leading to decreased effectiveness in assisting user movement and rehabilitation.
Innovation Solution
A method for high-speed optimization of an auxiliary profile for a mobile wearable robot, which involves providing assistance power, collecting real-time body response information, performing high-speed optimization of the auxiliary profile based on this information, and adjusting the assistance power accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniform assistance power is provided without real-time adjustment, then the device complexity is reduced and ease of operation is improved, but the effectiveness of assistance and user satisfaction deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where the controller continuously receives information about user movement state and robot position, processes this data, and adjusts assistance power in real-time. This closed-loop control system ensures that assistance effectiveness is maintained while automating the adjustment process to preserve ease of operation.
Solution Approach 2:
The system dynamically adjusts assistance power based on real-time user needs and robot state. The controller modifies assistance parameters continuously during operation, transitioning from static uniform assistance to dynamic adaptive assistance, thereby improving effectiveness without requiring manual intervention.
2Reliability
If assistance power is adjusted in real-time based on body response information, then the effectiveness of assistance is improved, but the device complexity and computational requirements increase
Solution Approach 1:
The wearable robot system performs self-adjustment of assistance power using onboard sensors and controllers. The system autonomously processes body response information and modifies assistance parameters without external intervention, reducing the need for complex external control systems while maintaining high assistance effectiveness.
Solution Approach 2:
The controller serves multiple functions: it coordinates robot movement, processes sensor data, determines user needs, and adjusts assistance power. By consolidating these functions into a single multi-functional controller, the system avoids the complexity of separate dedicated systems for each function while achieving real-time adaptive assistance.
3Speed
If optimization is performed at high-speed based on real-time data, then the responsiveness and user satisfaction are improved, but the computational load and processing requirements increase
Solution Approach 1:
The system performs computational optimization at appropriate speeds rather than maximum speed at all times. It processes data and adjusts assistance parameters at the frequency necessary to maintain effectiveness, avoiding unnecessary high-speed computation that would waste energy. The optimization speed is matched to the actual dynamics of user movement and robot operation.
Data Source
AI summary
Provided is a method of high-speech optimization of an auxiliary profile of a mobile wearable robot. The method includes providing assistance power to a user to help the user's walk, collecting body response information of the user measured after the providing of the assistance power, performing high-speed optimization on an auxiliary profile corresponding to the assistance power based on the body response information, and providing the user with optimal assistance power corresponding to the optimal auxiliary profile on which the high-speed optimization has been performed.