CASE 2018 Best Paper Award recipients announced!

Congratulations to the following 2018 IEEE International Conference on Automation Science and Engineering (CASE) Award Recipients! Winners were announced and honored during the Awards Ceremony which took place on 22 August 2018 in Munich, Germany. Presentations made by CASE Award Chair Spyros Reveliotis.

IEEE-CASE Best Conference Paper Award

The award is given annually to the author(s) of a paper presented at the IEEE International Conference on Automation Science and Engineering (CASE) that contributed to the notable advancement in automation research: abstractions, algorithms, theory, methodologies, and models that improve efficiency, productivity, quality, and reliability of machines and systems operating in structured environments over extended periods, or that improve the explicit structuring of environments where machines and systems operate.

“Multi-Robot Routing Algorithms for Robots Operating in Vineyards”
authored by Thomas C. Thayer, Stavros Vougioukas, Ken Goldberg, and Stefano Carpin, from UC Merced, UC Davis and UC Berkeley.

IEEE-CASE Best Application Paper Award

Best application paper presented at the International Conference on Automation Science and Engineering (CASE)

“Grasp Planning for Customizes Grippers by Iterative Surface Fitting”
authored by Yongxiang Fan, Hsien-Chung Lin, Te Tang, and Masayoshi Tomizuka from UC Berkeley

IEEE CASE Best Student Paper Award - Two Recipients this Year!

This award recognizes the best paper authored primarily by a student and presented by the student at the IEEE International Conference on Automation Science and Engineering (CASE). The award is supported by his academic family to honor Professor Yu-Chi (Larry) Ho, a Past President of the IEEE Robotics and Automation Council, which later became the IEEE Robotics and Automation Society.

“Fluids—a First-Order Lightweight Urban Intersection Driving Simulator”
authored by Hankun Zhao, Andrew Cui, Schuyler Cullen, Brian Paden, Michael Laskey, and Ken Goldberg from UC Berkeley, Samsung and MIT

“A System Architecture for Constraint-Based Robotic Assembly with CAD Information”
authored by Mathias Hauan Arbo, Yudha Prawira Pane, Erwin Aertbelien, and Wilm Decre from NTNU and Katholieke University of Leuven