Magnetic Pose Estimation Using Distributed Dipole Models
Published:
This project develops algorithms for estimating the pose of flexible permanent magnets using magnetic sensor arrays.
Instead of modeling a magnet as a single dipole, the system represents the magnet as multiple distributed dipoles, allowing reconstruction of bending and deformation.
Key components include:
- Distributed dipole magnetic modeling
- Nonlinear least-squares optimization
- Sensor array calibration
- Real-time magnetic field data processing
The algorithms are implemented in Python and designed to work with a 17×5 magnetic sensor array, enabling high-resolution magnetic field measurements.
Applications include:
- Soft robotics
- Tactile sensing systems
- Intelligent materials
- Shape reconstruction of flexible magnetic structures