Important Dates
Submission Deadline: April 1st, 2024, 23:59 UTC
Notification of Acceptance: April 15th, 2024
Camera-ready deadline: May 1st, 2024
Workshop: May 17th, 2024, Yokohama, Japan
Submission Deadline for the final archival version after conference: May 24th, 2024
Call for Contributions
Submissions should be an extended abstract of 2 pages (excluding references)
After acceptance, we will also request that you prepare a poster to be displayed during the workshop (details to follow)
We also highly encourage demonstrations or physical hardware at the workshop if possible (we can communicate about the details after acceptance if you would like to do this)
Accepted submissions will have a 3-minute spotlight presentation at the workshop in addition to the interactive poster/demo sessions
Submission link: https://openreview.net/group?id=IEEE.org/2024/ICRA/Workshop/Wearable
Paper template: IEEE conference template
Award certificates for Best Workshop Poster and Best Workshop Demo will be given to outstanding contributions.
Accepted papers will appear on this website in early May.
We invite interested workshop participants to submit an extended abstract of their work. All accepted submissions will be showcased during spotlight talks as 3-minute oral presentations, and during poster/demo sessions designed to encourage discussion. These sessions will be held in-person at the workshop. Interactive demonstrations to accompany posters are encouraged when possible. Submissions with high-quality contributions related to the workshop theme will be selected for this opportunity.
Approximately 10-12 submissions will be accepted and will be published on the workshop website. Contributions must adhere to the double-column IEEE conference template format and should not exceed 2 pages (excluding references). After acceptance, we will also request that you prepare a poster for the workshop.
If you have any further questions, feel free to contact the organizers at their individual email addresses or at icra2024wearableworkshop@mit.edu
Sensor and actuator design or fabrication, including soft or customizable devices for humans or robots
Machine learning for wearable sensor data, including sparse datasets and cross-subject generalizability
Multimodal sensing and cross-modal insight generation
Sensing modalities including biosignals, tactile sensing, or motion
Applications and experimental considerations including healthcare, rehabilitation, movement assistance or augmentation, robotic manipulation or contact awareness, human-machine interaction, and AR/VR
Data capture for human behavior or robot perception, including unobtrusive sensing or robot skins