Partners

Select UR-RAD contributions relevant to the Quori community will be eligible for sponsored participation support to attend UR-RAD 2025 in-person! Specifically, Quori-related papers should be clearly relevant to one or more of the topics below and must include at least a section that details the technical applicability of the contribution to open-source social robot platforms, including, but not limited to, Quori. If interested and relevant, please email us at urrad.symposium@gmail.com after the paper is submitted, simply stating that you would like for your contribution (paper title and ID) to be considered for Quori travel support.

To be considered for an award, submissions should be submitted by either of the two submission deadlines (see Call For Papers).

Of particular relevance to the Quori community, UR-RAD emphasizes how human-robot interactions can be captured as computational artifacts, or representations. For social robots like Quori, this includes social behavior representations, multi-layered authoring architectures, end-user programming tools, and more. Specifically, the Quori community is interested in topics and representations of speech-based behaviors including linguistics (speech recognition, text-to-speech, syntax of language, etc.) and vocalics (volume, pitch, rate, etc.), as well as body language-based behaviors, including proxemics (social spacing), haptics (touch), oculesics (eye gaze), kinesics (face, hand, and body gestures), deixis (spatial referencing), and chronemics (turn-taking and back-channeling). Thinking critically about these representations is essential to shaping Quori and the next generation of social robot platforms.

Many of UR-RAD’s topics of interest are deeply aligned with the Quori community. We welcome paper submissions (long, short, or abstract-only) on Quori-related topics including, but not limited to:

• Representations for social behavior: How might human-robot interactions be represented in a standardized way across open robot platforms, such as Quori?
• Surveys or reflective analyses: What trends or insights from past social robotics work (including the social behaviors listed above) might shape the design of hardware, software, aesthetic, character, behaviors, etc.?
• Standardized representations: What formalizations could support reusability and generalization between deployments of different models of social robots?
• Stakeholders: Who are the intended users and developers of social robots like Quori, and how do their needs shape design of representations for application development?
• End-user development and learning: In the advent of technology like large language models (LLMs) and foundation models, what robot behaviors should be manually authored vs. autonomously learned? What are the implications of these decisions for how various types of users and developers interact with them?
• Physical form factor: How does a robot's physical embodiment shape or constrain underlying representations?
• Software infrastructure: What existing and novel software systems can support robots (such as Quori) for autonomous or teleoperated human-robot interactions?