15 citations · 19 across the 6 of their papers we have counts for
7 papers
Toward Geometry-Scalable Whole-Body Touch for Humanoids: A 3D-Printed Conformal EIT Skin
Haofeng Chen, Carson Kohlbrenner, Jiri Kubik +6
Whole-body tactile sensing is a prerequisite for humanoids that operate in contact-rich human environments, but conventional taxel arrays scale poorly with surface area, wiring com…
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 Sensing 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…
Pneumatic-Tomographic Tactile Skin for Multicontact Localization and Force Estimation
Haofeng Chen, Jiri Kubik, Bedrich Himmel +2
Tactile skins based on electrical impedance tomography (EIT) enable large-area contact localization with few electrodes, but suffer from nonuniform sensitivity that limits force es…
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…
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.…
Analyzing Material Recognition Performance of Thermal Tactile Sensing using a Large Materials Database and a Real Robot
Haoping Bai, Haofeng Chen, Elizabeth Healy +2
In this paper we focus on analyzing the thermal modality of tactile sensing for material recognition using a large materials database. Many factors affect thermal recognition perfo…