IEEE ICRA Best Paper Award on Human-Robot Interaction (HRI) (sponsored by ABB)
About the Award
Description: This award recognizes the best paper on Human-Robot Interaction presented at the IEEE International Conference on Robotics and Automation (ICRA).
Prize: A single award of $1,000 to be shared by all authors and certificates for individual authors. If there are multiple authors of a winning paper, they will share the $1,000 prize equally. In the exceptional case that two papers are deemed worthy, the authors of each paper will share a $500 prize equally.
Funding: The award is sponsored by ABB for a period of 5 years (2016-2020). If funding becomes unavailable, the award will not be given.
Eligibility: All papers presented at the annual ICRA conference are eligible. There are no restrictions as to organization, nationality, race, creed, sex, or age. There is no requirement for IEEE membership. 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 human-robot interaction papers are encouraged to include keywords related to human-robot interaction in their keyword list to help the ICRA Awards Committee identify papers to consider for the award.
Basis for Judging: A selection committee will be appointed by the ICRA Awards Committee with members who have appropriate expertise in the field of human-robot interaction. Papers are judged based on technical merit, originality, relevance and potential impact on the human-robot interaction field, clarity of the written paper, and quality of the conference presentation.
Presentation: The award will be announced and presented at the same annual IEEE ICRA conference.
Winners of this Award
Louis Dankovich and Sarah Bergbreiter
"Gesture Recognition via Flexible Capacitive Touch Electrodes"
Jun Hatori, Yuta Kikuchi, Sosuke Kobayashi, Kuniyuki Takahashi, Yuta Tsuboi, Yuya Unno, Wilson Kien Ho Ko, Jethro Tan
"Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions"
Kosuke Sato, Keita Watanabe, Shuichi Mizuno, Masayoshi Manabe, Hiroaki Yano, Hiroo Iwata
"Development of a Block Machine for Volleyball Attack Training"
Hyo Seung Han, Junwoo Park, Tien Dat Nguyen, Uikyum Kim, Canh Toan Nguyen, Hoa Phung, Hyouk Ryeol Choi
"A Highly Sensitive Dual Mode Tactile Proximity Sensor Using Carbon Microcoils for Robotic Applications"