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Dr. Laurel Riek is an
Associate Professor of Computer Science
and Engineering at UC San Diego, and also has appointments in the Department of Emergency Medicine and Contextual Robotics Institute.
Dr. Riek directs the Healthcare Robotics
Lab, and is a roboticist with interests in human-robot teaming,
computer vision, and healthcare engineering, and focuses on building
systems able to sense, learn from, and adapt to people. Riek's current
projects have applications in acute care, neurorehabilitation, and
home health. The lab is also very interested in supporting health equity through communtiy health efforts.
Prof. Riek received a Ph.D. in Computer Science from the University of
Cambridge, and B.S. in Logic and Computation from Carnegie Mellon University. Riek served as a
Senior Artificial Intelligence Engineer and Roboticist at The MITRE Corporation from 2000-2008, working on learning and vision systems for robots. From 2011-2016
Prof. Riek held the Clare Boothe Luce chair in Computer Science and
Engineering at the University of Notre
Dr. Riek has received the NSF
CAREER Award, AFOSR
Young Investigator Award, Qualcomm
Research Award, and was named one of ASEE's 20
Faculty Under 40. Riek's research has been supported by the NSF,
AFOSR, DOE, and a number of companies and foundations.
Prof. Riek currently serves on the editorial boards of ACM Transactions on Human Robot Interaction (THRI), IEEE Transactions on Robotics (T-RO), and is the 2020 HRI Technical Program Committee Co-Chair.
Recent selected publications: (all
- Kubota, A., Peterson, E., Rajendren, V., Kress-Gazit, H., and Riek, L.D. (2020). "JESSIE: Synthesizing social robot behaviors for personalized neurorehabilitation and beyond." In Proceedings of the ACM/IEEE International Conference on Human Robot Interaction (HRI). [Acceptance rate: 23.6%]. [pdf]
- Chan, D. and Riek, L.D. (2020). "Unseen Salient Object Discovery for Monocular Robot Vision." IEEE Robotics and Automation Letters. Also appears in ICRA 2020. [pdf]
- Taylor, A., Lee, H., Kubota, A., and
Riek, L.D. (2019). "Coordinating Clinical Teams: Using Robots to Empower
Nurses to Stop the Line". In Proceedings of the ACM Conference on
Computer Supported Collaborative Work (CSCW). [Acceptance rate = 30%]
Best Paper Award Honorable
Mention (top 5% of papers)
- Moosaei, M., Pourebadi, M., and Riek, L.D. (2019). "Modeling and Synthesizing Idiopathic Facial Paralysis". In Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition (FG). [pdf] [Acceptance rate: 20%].
- Moharana, S., Panduro, A., Lee, H., and Riek, L.D. (2019). "Robots for Joy, Robots for Sorrow: Community Based Robot Design for Dementia Caregivers". In Proceedings of the ACM/IEEE International Conference on Human Robot Interaction (HRI). [Acceptance rate: 24%] [pdf]
Best Paper Award Nominee
- Woodwarth, B., Ferrari, F., Zosa, T., Riek, L.D. (2018) "Preference Learning in Assistive
Robotics: Observational Repeated Inverse Reinforcement Learning"
In Proceedings of Machine Learning for Healthcare (MHLC). [Acceptance Rate: 19%] [pdf]
- Riek, L.D. (2017). "Healthcare Robotics". Communictions of the
ACM, Vol. 60, No. 11, pp. 68-78. [pdf]