Quori Program Awardees

It is our pleasure to announce the following 10 groups which have been selected as awardees for the Quori Robot Award Program! Congratulations to those who have been select. We look forward to working with you!


Carnegie Mellon University

The research team proposes to use Quori to enable the following research thrusts:

  1. nonverbal communication for social navigation,

  2. social robot peers for teaching mathematical perseverance,

  3. inter-robot social interaction for service, and

  4. interaction design for mobile intelligence.

Across the proposed project, the research team will explore “different configurations of humans (individual children, individual adults, and groups of adults), robots (one robot, multiple robots, or systems comprised of robots and other devices), and contexts (public and private spaces).” The unique capabilities of Quori that will be leveraged are both its mobility and multimodal expressiveness. In addition to the core research thrusts, the project also has the potential to deliver a shared code base and general feedback about Quori.



Johns Hopkins University; Johns Hopkins Hospital

The research team proposes to use Quori to enable the following research thrusts:

  1. affective interaction to promote meaningful social engagement,

  2. mobility coaching to foster physical activity, and

  3. field deployment to study naturalistic and long-term effects.

The expected outcomes include new datasets, models, and empirical evidence for social engagement, navigation, and real-world deployments of social robots. The proposed technical developments are compelling, and the application domain (older adults) is an important area of investigation and are expected to be impactful.



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Oregan State University

The research team proposes to use Quori to enable the following research thrusts:

  1. an investigation of the use of robotics and automation in the treatment of highly-infectious diseases, like Ebola;

  2. an investigation, strongly rooted in the social psychology literature, of how people form opinions about robots and their abilities as the robots perform different tasks;

  3. a study of the long-term privacy concerns raised by socially interactive robots, and the risk of the eroding of these concerns over time; and

  4. integrating Quori into their existing robust NSF-funded Research Experiences for Undergraduates program and into collaborations between the Robotics and Psychology programs at the research site.


The research site is the primary host of ROS and the research team shows great potential to continue to offer software and support to the ever-growing ROS community. The proposed applications domains are compelling, in particular, the aiding treatment of highly-infectious diseases and with regard to privacy. The proposal provides fantastic opportunities for integrating Quori into the university classroom and for use by students in REU and summer school programs.



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Saint Louis University; Southern Illinois University, Edwardsville

The research team proposes to use Quori to enable the following research thrusts:

  1. guidelines for manipulator (arm/hand) design and modularity,

  2. rendering human facial expressions on Quori, and

  3. mapping facial expressions and arm motions together for personality embodiment on HRI platforms.

To evaluate these capabilities with human users, the research team proposes integrating Quori and the proposed technologies as an extension of an already planned user study, the original with 180 participants and the Quori extension with 25-30 college-aged participants. The design, implementation, and evaluation of one or many alternative robotic arms for Quori, as well as the software for retargeting tracked human arm movements to these robotic arms, could be of great benefit to the Quori community and general HRI community.



University of California, San Diego

The research team proposes to use Quori to enable the following research thrusts:

  1. context understanding for social HRI,

  2. personalization and preference learning for effective intervention, and

  3. long-term HRI through changes in health condition.

The proposed research addresses on-board sensing/computation and unsupervised learning for autonomous social robots. The integration of the proposed hardware and software technologies would expand Quori’s capabilities, which could be quite valuable if shared with the Quori community and general HRI community. The application domain (community health intervention and positive health behavior change, and within dementia care contexts) is compelling, and has the potential for high-impact outcomes.



University of Nevada, Reno

The research team proposes to use Quori to enable the following research thrusts:

  1. socially aware navigation,

  2. distributed multi-robot control, and

  3. mid-torso actuation.

The research team also proposes empirical studies to evaluate intent through body language, morphological aspects of robot design, interpretations of expressiveness of simple vs. complex robotic arms (w.r.t. number of degrees of freedom), and relationships between navigation behavior and perceived social intelligence.


University of Washington

The research team proposes to use Quori to enable the following research thrusts:

  1. three foundational studies of adolescent-robot interaction;

  2. an experimental study comparing data gathering, empathetic interaction, and stress intervention; and

  3. a longitudinal, ethnographic study comparing multiple robots deployed in the wild.

The proposed applications domain is compelling (a social robot to gather stress and mood data from adolescents). The unique qualities of Quori (movement, projected face, and significant height) are used to adequately justify the need for Quori (vs. other robot platforms) to explore the proposed work in the wild; specifically, the research team indicates that other available robot platforms are limited in mobility, arm, and facial capabilities, which are inadequate to support their use case(s).



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University of Wisconsin–Madison

The research team will use Quori to enable the following research thrusts:

1. integrating formal methods into human-robot interaction design,

2. enabling emotionally sophisticated human-robot interactions, and

3. development of a comprehensive software stack for HRI.

These research thrusts will establish fundamental building blocks for the design and development of autonomous social robots. The development and integration of the proposed software technologies would expand Quori’s capabilities, which will benefit the Quori community and more broadly the HRI community.



Quori Robots will also be at the two founding research groups, the University of Southern California and the University of Pennsylvania.

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University of Southern California


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University of Pennsylvania