4 papers
A Physics-Embedded Dual-Learning Imaging Framework for Electrical Impedance Tomography
Xuanxuan Yang, Yangming Zhang, Haofeng Chen +2
Electrical Impedance Tomography (EIT) is a promising noninvasive imaging technique that reconstructs the spatial conductivity distribution from boundary voltage measurements. Howev…
Physics-Driven Learning Framework for Tomographic Tactile Sensing
Xuanxuan Yang, Xiuyang Zhang, Haofeng Chen +2
Electrical impedance tomography (EIT) provides an attractive solution for large-area tactile sensing due to its minimal wiring and shape flexibility, but its nonlinear inverse prob…
Multi-Touch and Bending Perception Using Electrical Impedance Tomography for Robotics
Haofeng Chen, Bedrich Himmel, Bin Li +2
Electrical Impedance Tomography (EIT) offers a promising solution for distributed tactile sensing with minimal wiring and full-surface coverage in robotic applications. However, EI…
A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case Study in Electrical Impedance Tomography (EIT)
Xuanxuan Yang, Yangming Zhang, Haofeng Chen +2
Electrical Impedance Tomography (EIT) is a highly ill-posed inverse problem, with the challenge of reconstructing internal conductivities using only boundary voltage measurements.…