Haptische Intelligenz Robotik-Materialien Miscellaneous 2024

Three-Dimensional Surface Reconstruction of a Soft System via Distributed Magnetic Sensing

This study presents a new method for reconstructing continuous 3D surface deformations for a soft pneumatic actuation system using embedded magnetic sensors. A finite element analysis (FEA) model was developed to quantify the surface deformation given the magnetometer readings, with a relative error between the experimental and the simulated sensor data of 7.8%. Using the FEA simulation solutions and a basic model-based mapping, our method achieves sub-millimeter accuracy in measuring deformation from sensor data with an absolute error between the experimental and simulated sensor data of 13.5%. These results show promise for real-time adjustments to deformation, crucial in environments like prosthetic and orthotic interfaces with human limbs.

Author(s): Sundaram, Vani H. and Smith, Lawrence and Turin, Zoe and Rentschler, Mark E. and Gonzalez Welker, Cara
Year: 2024
Month: May
Bibtex Type: Miscellaneous (misc)
Address: Yokohama, Japan
Electronic Archiving: grant_archive
How Published: Workshop paper (3 pages) presented at the ICRA Workshop on Advancing Wearable Devices and Applications Through Novel Design, Sensing, Actuation, and AI
State: Published

BibTex

@misc{Sundaram24-ICRAWS-Reconstruction,
  title = {Three-Dimensional Surface Reconstruction of a Soft System via Distributed Magnetic Sensing},
  abstract = {This study presents a new method for reconstructing continuous 3D surface deformations for a soft pneumatic actuation system using embedded magnetic sensors. A finite element analysis (FEA) model was developed to quantify the surface deformation given the magnetometer readings, with a relative error between the experimental and the simulated sensor data of 7.8%. Using the FEA simulation solutions and a basic model-based mapping, our method achieves sub-millimeter accuracy in measuring deformation from sensor data with an absolute error between the experimental and simulated sensor data of 13.5%. These results show promise for real-time adjustments to deformation, crucial in environments like prosthetic and orthotic interfaces with human limbs.},
  howpublished = {Workshop paper (3 pages) presented at the ICRA Workshop on Advancing Wearable Devices and Applications Through Novel Design, Sensing, Actuation, and AI},
  address = {Yokohama, Japan},
  month = may,
  year = {2024},
  slug = {sundaram24-icraws-reconstruction},
  author = {Sundaram, Vani H. and Smith, Lawrence and Turin, Zoe and Rentschler, Mark E. and Gonzalez Welker, Cara},
  month_numeric = {5}
}