Exoskeleton Control Logic Evaluation via Virtual Human Modeling
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Solution Overview
Problem
Conventional exoskeleton control logic evaluation methods require direct user testing, which is time-consuming, costly, and poses safety risks, especially when testing unfinished control logic on human subjects, and there is a need for a system to verify control logic across various human body types without direct user wear.
Innovation Solution
A method and system that acquire human and exoskeleton characteristic data, perform controllability determination, simulation, and performance evaluation using a simulation module to analyze joint trajectory, motion delay, and EMG data, allowing for the evaluation of control logic without direct user wear.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct user testing is conducted to evaluate exoskeleton control logic, then the evaluation reflects real user feedback and interaction quality, but the process becomes time-consuming, costly, and poses safety risks
Solution Approach 1:
The patent creates virtual human models that copy and simulate the physical characteristics, movement patterns, and physiological responses of real users. These digital twins allow comprehensive testing of control logic across diverse user profiles without requiring actual human participants, thereby maintaining evaluation accuracy while eliminating time-consuming and costly physical testing
Solution Approach 2:
The system performs preliminary simulations and safety validations on virtual human models before any real user testing. By pre-evaluating control logic behavior across various scenarios and user types in a risk-free virtual environment, the system identifies and resolves potential issues beforehand, reducing the need for iterative real-world testing
2Measurement precision
If direct user testing is conducted to evaluate exoskeleton control logic, then the evaluation reflects real user feedback and interaction quality, but the process becomes costly and requires extensive resources
Solution Approach 1:
Virtual human models serve as digital copies that eliminate the need for physical human participants, test equipment setup, and associated logistical resources. The simulation environment reuses the same virtual models across multiple testing scenarios, significantly reducing resource consumption while maintaining comprehensive evaluation capabilities
Solution Approach 2:
The virtual human modeling system provides multi-functionality by simulating diverse user characteristics, movement patterns, and physiological responses within a single computational framework. This universal platform can evaluate control logic across multiple user types simultaneously, replacing the need for separate physical testing sessions with different participants
3Productivity
If unfinished control logic is tested directly on human users, then real-world performance can be observed, but safety risks arise
Solution Approach 1:
The system implements beforehand cushioning by creating multiple layers of virtual testing that absorb and identify potential safety issues before real user exposure. The simulation framework includes built-in safety validation that detects hazardous control logic behavior in advance, cushioning against the risk of harm to actual users while enabling rapid development iteration
Solution Approach 2:
Virtual human models serve as an intermediary between developers and real users, providing a safe middle ground for testing unfinished control logic. This mediator allows aggressive development and frequent testing iterations without direct human risk, while still providing realistic feedback on system behavior and performance
4Adaptability or versatility
If various user groups are tested to ensure wide applicability, then the exoskeleton becomes more adaptable to different users, but the testing process requires more time and money
Solution Approach 1:
The virtual human modeling system achieves universality by incorporating diverse user characteristics—including different body types, age groups, and movement capabilities—within a single simulation platform. This allows comprehensive adaptability testing across all target user groups simultaneously, eliminating the need for separate physical testing programs for each demographic
Data Source
AI summary
Provided are a method and apparatus for evaluating the control logic of an exoskeleton, wherein the method includes acquiring, by a human modeling module, characteristic data of a human model, acquiring, by a device modeling module, characteristic data of an exoskeleton, verifying, by a controllability determination module, a controllability that represents whether control is performable on a target body motion based on the characteristic data of the human model and the characteristic data of the exoskeleton, performing, by a simulation module, the target body motion based on a result verification of the controllability and acquiring simulation data generated during performance of the target body motion, and analyzing, by a performance evaluation module, the simulation data.