CReAITech invites early-career researchers — PhD candidates and researchers before tenure — to a full-day workshop on Responsible Physical AI. The focus is on exchange and developing a shared research agenda rather than lengthy presentations.

Participants submit a summary paper (max. 2,000 words) by early September 2026, outlining their research question, approach, a brief review, and five keywords, and commit to giving oral comments on two further contributions. In the morning, papers are discussed in small groups; in the afternoon, thematic groups develop key research desiderata. Those interested can then contribute to a scoping publication and a CReAITech white paper (optional).

Submissions from the CReAITech community in Munich and Augsburg undergo a light review: all qualified contributions are accepted. External early-career researchers are explicitly welcome and are invited to get in touch ahead of submitting at lst@sot.tum.de.

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.