Ken Goldberg's Autolab at CASE

Ken Goldberg's Autolab at CASE

Ken Goldberg's AUTOLAB presented a slew of new papers at the 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE). CASE is the flagship automation conference of the IEEE Robotics and Automation Society and constitutes the primary forum for cross-industry and multidisciplinary research in automation. Its goal is to provide a broad coverage and dissemination of foundational research in automation among researchers, academics, and practitioners. Check out the papers they presented below!

Kit-Net: Self-Supervised Learning to Kit Novel 3D Objects into Novel 3D Cavities. Shivin Devgon, Jeffrey Ichnowski, Michael Danielczuk, Daniel S. Brown, Ashwin Balakrishna, Shirin Joshi, Eduardo M. C. Rocha, Eugen Solowjow, Ken Goldberg.IEEE Int’l Conference on Automation Science and Engineering (CASE), Online and Lyon, France. August 2021 [final submission].

FogROS: A Light-Weight Easy-to-Use Framework for Cloud-Based Robot Computation. Kaiyuan (Eric) Chen, Yafei Liang, Jeffrey Ichnowski, Michael Danielczuk, Joseph Gonzalez, John Kubiatowicz, Ken Goldberg.IEEE Int’l Conference on Automation Science and Engineering (CASE), Online and Lyon, France. August 2021 [final submission].

AVPLUG: Approach Vector PLanning for Unicontact Grasping amid Clutter. Yahav Avigal, Vishal Satish, Zach Tam, Harry Zhang, Huang Huang, Michael Danielczuk, Jeffrey Ichnowski, Ken Goldberg.IEEE Int’l Conference on Automation Science and Engineering (CASE), Online and Lyon, France. August 2021 [camera ready].

LazyDAgger: Reducing Context Switching in Interactive Robot Imitation Learning. Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel Brown, Daniel Seita, Brijen Thananjeyan, Ellen Novoseller, Ken Goldberg.IEEE Int’l Conference on Automation Science and Engineering (CASE), Online and Lyon, France. August 2021 [camera ready].