Penn Engineers Receive Awards at ICRA 2013
Two teams of Penn Engineers won top prizes at the 2013 IEEE International Conference on Robotics and Automation (ICRA) held from May 6-8 in Karlsruhe, Germany.
ICRA is sponsored by the IEEE Robotics & Automation Society. IEEE is a non-profit, technical professional association of more than 377,000 individual members in 150 countries, and is a leading authority in technical areas ranging from computer engineering, biomedical technology and telecommunications, to electric power, aerospace and consumer electronics, among others. The Robotics & Automation Society is a very active world-wide research association working on the future of robotics.
Best Cognitive Robotics Paper Award
The Penn Haptics Group won the Best Cognitive Robotics Paper Award for their paper, "Using robotic exploratory procedures to learn the meaning of haptic adjectives." The paper was presented by Vivian Chu, lead author and a 2013 recipient of a master's in Robotics from Penn Engineering. Also contributing to this research were Ian McMahon, Lorenzo Riano, Craig G. McDonald, Qin (Karen) He, Jorge Martinez Perez-Tejada, Michael Arrigo, Naomi Fitter, John Nappo, Trevor Darrell, and Katherine J. Kuchenbecker, Skirkanich Assistant Professor of Innovation in the Department of Mechanical Engineering and Applied Mechanics.
This award was established to promote interdisciplinary research on cognition for technical systems and advancements of cognitive robotics in industry, home applications, and daily life. This award comes with a $1000 prize that is sponsored by CoTeSys, the "Cognition for Technical System" cluster of excellence coordinated by TU Munich.
Finalist: Best Student Paper
Aaron Johnson, a doctoral student in Electrical and Systems Engineering, was a finalist for Best Student Paper for his work, "Toward a Vocabulary of Legged Leaping" with Dan Koditschek, the Alfred Fitler Moore Professor in ESE. A video depicting this research can be seen here.
This award was created to recognize the most outstanding paper authored primarily by a student at the annual IEEE International Conference on Robotics and Automation.