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Simulation-based design for robotic care device: Optimizing trajectory of transfer support robot
Summary
This study introduces simulation-based design for robotic care devices to ease caregiver and care receiver burdens. It uses digital human simulation and optimization methods to improve robotic care device design.
Area of Science:
- Robotics
- Human-Computer Interaction
- Biomechanical Engineering
Background:
- Caregiver burden is a significant issue in healthcare.
- Robotic care devices offer potential solutions but require effective design.
- User-device interaction is critical for safety and efficacy.
Purpose of the Study:
- To present a simulation-based design framework for robotic care devices.
- To reduce the burden on caregivers and care receivers.
- To optimize the design parameters of robotic care devices.
Main Methods:
- Quantitative estimation of physical user-device interaction using a digital human simulator.
- Development of a method for optimizing design parameters based on evaluation criteria.
- Application of trajectory optimization for a transfer support robot.
Main Results:
- The framework enables quantitative assessment of user-device interaction.
- The optimization method effectively refines design parameters.
- Demonstrated effectiveness of the proposed method using a transfer support robot example.
Conclusions:
- Simulation-based design is a viable approach for developing effective robotic care devices.
- The proposed framework can improve the design and performance of assistive robots.
- This methodology contributes to reducing the load in caregiving settings.
