Electrical Impedance Tomography (EIT) is emerging as a powerful paradigm for tactile sensing in soft and compliant robotic systems. By reconstructing internal conductivity distributions from boundary electrical measurements, EIT enables large-area, continuous, and material-embedded tactile perception using minimal wiring and fully compliant materials.

This full-day workshop brings together researchers from robotics, materials science, soft sensors, and computational modeling to discuss recent advances in EIT-based tactile sensing. Topics include novel soft materials and electrode designs, inverse reconstruction algorithms, data-driven modeling, real-time robotic integration, and benchmarking methodologies.

The workshop will feature invited talks from leading researchers, contributed presentations, live demonstrations, poster sessions, and an extended panel discussion. The goal is to consolidate the growing EIT tactile sensing community, foster interdisciplinary collaboration, and outline a roadmap for the future of tomographic and distributed tactile perception in robotics.

Scope

We invite contributions related (but not limited) to:

• Electrical Impedance Tomography (EIT) for tactile sensing

• Soft and deformable tactile sensor design

• Inverse reconstruction and computational imaging for sensing

• Data-driven and learning-based EIT models

• Electrode design and soft-material architectures

• Real-time tactile feedback for robotic control

• Multimodal and hybrid tactile sensing systems

• Benchmarking, datasets, and evaluation protocols

• Applications in manipulation, soft robotics, HRI, and wearable systems

Presentation formats 

• Poster Presentation: We invite researchers to submit a 1-2 page abstract (including references) outlining their work. Submissions will be reviewed, and accepted participants will be required to prepare a poster presentation using the designated template. This option is ideal for those who wish to share their research findings, methodologies, and results in a structured, visual format. 

• Poster + Demonstration: For those interested in complementing their poster with a hands-on demonstration, we encourage the submission of a 1-2 page abstract along with a short video showcasing their work. The video may include experimental results, system operations, and simulations, providing additional insights into the research. Accepted participants will present both a live demonstration and a poster, allowing for a more interactive engagement with the audience. 

Submission Instructions

All submissions should be made through the following Google Form:

Submission link:   https://forms.gle/NzhoVZP1cLfQJmqb7

Awards: To encourage high-quality participation, the workshop plans to offer:

• Best Poster Award

• Best Presentation Award

Awards will be announced at the end of the workshop. (Subject to sponsorship availability.)