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 research projects have applications in critical care, neurorehabilitation, and manufacturing.
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, Luce Foundation, Adobe, and Amazon.
Recent selected publications: (all publications)
- 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]
- 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]
Chan, D., Taylor, A., and Riek, L.D. (2017). "Faster Robot Perception Using Salient Depth Partitioning". Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). pp. 4152-4158. [pdf]
Moosaei, M., Das, M., Popa, D., and Riek, L.D. (2017) "Using Facially
Expressive Robots to Calibrate Clinical Pain Perception". In Proc. of
the 12th ACM/IEEE International Conference on Human Robot Interaction
(HRI), pp. 1-8. [Acceptance Rate: 24%] [pdf]
Best Paper Award Nominee
- Iqbal, T., Rack, S., and
Riek, L.D. "Movement Coordination in Human-Robot Teams: A Dynamical
Systems Approach". IEEE Transactions on Robotics. Aug, 2016. [pdf]
T. and Riek, L.D. (2017) "Coordination Dynamics in Multi-human Multi
-robot Teams". IEEE Robotics and Automation Letters. (Also appears in
IEEE International Conference on Robotics and Automation (ICRA) 2017).