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A 5-D Localization Method for a Magnetically Manipulated Untethered Robot Using a 2-D Array of Hall-Effect Sensors
163
Citations
28
References
2015
Year
Robotic SystemsEngineeringField RoboticsMagnetic ResonanceUntethered Magnetic DevicesHall-effect SensorsMagnetic FieldLocalizationMagnetic MaterialsMagnetic SensorLocalization MethodMagnetismKinematicsMagnetic SensorsMagnetic SystemsMagnetic RobotRobotic TechnologyMedicineRobotic SensingMechatronicsMagnetic MeasurementMicropositioning5-D Localization MethodMicro-magnetic ModelingMagnetic Medium2-D ArrayMagneto-inductive CommunicationsMagnetic PropertyMagnetic DeviceRobotics
The paper proposes a five‑dimensional localization method for an untethered meso‑scale magnetic robot, aiming to enable precise position feedback control for future medical applications. The method employs a 2‑D array of mono‑axial Hall‑effect sensors, subtracts the electromagnet’s dipole field, twice differentiates the residual perpendicular field, and optimizes the error between measured and modeled fields to estimate the robot’s five positional and orientational variables. The approach achieves a mean position error of 2.1 mm ± 0.8 mm and an angular error of 6.7° ± 4.3° at 200 Hz within a 5 cm sensor range.
This paper introduces a new five-dimensional localization method for an untethered meso-scale magnetic robot, which is manipulated by a computer-controlled electromagnetic system. The developed magnetic localization setup is a two-dimensional array of mono-axial Hall-effect sensors, which measure the perpendicular magnetic fields at their given positions. We introduce two steps for localizing a magnetic robot more accurately. First, the dipole modeled magnetic field of the electromagnet is subtracted from the measured data in order to determine the robot's magnetic field. Secondly, the subtracted magnetic field is twice differentiated in the perpendicular direction of the array, so that the effect of the electromagnetic field in the localization process is minimized. Five variables regarding the position and orientation of the robot are determined by minimizing the error between the measured magnetic field and the modeled magnetic field in an optimization method. The resulting position error is 2.1±0.8 mm and angular error is 6.7±4.3° within the applicable range (5 cm) of magnetic field sensors at 200 Hz. The proposed localization method would be used for the position feedback control of untethered magnetic devices or robots for medical applications in the future.
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