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The force control and path planning of electromagnetic induction-based massage robot
Summary
This study introduces a novel massage robot with an improved path planning algorithm, enhancing massage effectiveness and coverage. The coil current significantly influences massage force, controllable via structural optimization and current adjustment.
Area of Science:
- Robotics
- Biomedical Engineering
- Mechanical Engineering
Background:
- Massage robots offer physiological benefits like fatigue relief and improved circulation.
- Simple, low-cost massage devices have limited functionality.
- Developing multi-functional massage equipment is challenging due to complexity and cost.
Purpose of the Study:
- To present a novel massage robot capable of diverse massage operations (tapping, rolling, kneading).
- To propose an improved reciprocating path planning algorithm to enhance massage efficacy.
- To investigate factors influencing massage force and control strategies.
Main Methods:
- Finite element method used to analyze the influence of coil turns, current, and distance on massage force.
- Development of a wheeled massage robot control system model.
- Implementation of an improved reciprocating path planning algorithm for better regional coverage.
Main Results:
- Coil current identified as the most significant factor influencing massage force.
- Simulation results in Maxwell and Matlab demonstrated the effectiveness of the improved path planning algorithm.
- The new algorithm achieved a higher coverage rate compared to traditional methods.
Conclusions:
- Massage force is controllable by optimizing structural parameters and adjusting coil current.
- The proposed path planning algorithm significantly improves massage operational coverage.
- The developed massage robot offers enhanced massage effects through improved path planning and force control.
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