ICRA Cognitive Robotics Best Paper Award (sponsored by CoTeSys)
About the Award
Description: This award is established to promote interdisciplinary research on cognition for technical systems and advancements of cognitive robotics in industry, home applications, and daily life. Up to one award will be given annually at the IEEE International Conference on Robotics and Automation (ICRA) conference.
Prize: $1,000 USD will be shared by all authors and certificates for individual authors. In case of ties, the award can be divided among a maximum of 2 winning authors (or, winning teams of authors, respectively).
Funding: The award is sponsored by the German Cluster of Excellence CoTeSys for an initial period of 5 years (2010-2014). An extension is subject to future discussion. The funds are held by the IEEE Foundation.
Eligibility: All papers submitted to the annual ICRA conference are eligible. There are no restrictions as to IEEE membership, organization, nationality, race, creed, sex, or age, except that papers with authors or co-authors from the project CoTeSys are not eligible. Eligibility and Selection process shall comply with procedures and regulation established in IEEE and Society governing documents, particularly with IEEE Policy 4.4 on Awards Limitations. Authors of cognitive robotics papers are encouraged to include â€œcognitive roboticsâ€ in their keyword list to help the Awards Committee identify papers to consider for the award.
Basis for Judging: Factors to be considered are: the significance of cognitive behavior and cognitive capabilities, interdisciplinary work, creativity, technical merits, originality, potential impact in applications in industry and at home, and clarity of presentation. If no paper is considered worthy of the award, the award may not be given.
Presentation: The award will be announced and presented at the annual IEEE ICRA.
Winners of this Award
Vivian Chu, Ian McMahon, Lorenzo Riano, Craig G. McDonald, Qin He, Jorge Martinez Perez-Tejada, Michael Arrigo, Naomi Fitter, John C. Nappo, Trevor Darrell, Katherine J. Kuchenbecker
"Using Robotic Exploratory Procedures to Learn the Meaning of Haptic Adjectives"
Moritz Tenorth, Alexander Perzylo, Reinhard Lafrenz and Michael Beetz
"The RoboEarth Language: Representing and Exchanging Knowledge about Actions, Objects, and Environments"
H Grollman, and Aude Billard
"Donut as I do: Learning from failed demonstrations"
Guy Hoffman, Gil Weinberg
"Gesture-Based Human-Robot Jazz Improvisation"