News/Research

Ken Goldberg at ICRA 2022

12 Apr, 2022

Ken Goldberg at ICRA 2022

Ken Goldberg's AutoLab has been hard at work! Check out this collection of AutoLab's amazing papers and presentations recently featured at ICRA (International Conference on Robots and Automation) 2022!

ICRA is the largest robotics meeting in the world and is the flagship conference of the IEEE Robotics and Automation Society. This year, ICRA took place entirely online.

Simulation of Robust Parallel-Jaw Grasping using Incremental Potential Contact Models. Chung Min Kim, Michael Danielczuk, Isabella Huang, Ken Goldberg. IEEE International Conference on Robotics and Automation. [Final Paper]

Mechanical Search on Shelves using a Novel “Bluction” Tool. Huang Huang, Michael Danielczuk, Chung Min Kim, Letian Fu, Zachary Tam, Jeffrey Ichnowski, Anelia Angelova, Brain Ichter, Ken Goldberg. IEEE International Conference on Robotics and Automation. [Final Paper]

Planar Robot Casting with Real2Sim2Real Self-Supervised Learning. Vincent Lim, Huang Huang, Lawrence Yunliang Chen, Jonathan Wang, Jeffrey Ichnowski, Daniel Seita, Michael Laskey, Ken Goldberg. IEEE International Conference on Robotics and Automation. [Final Paper]

LEGS: Learning Efficient Grasp Sets for Exploratory Grasping. Letian Fu, Michael Danielczuk, Ashwin Balakrishna, Daniel S. Brown, Jeffrey Ichnowski, Eugen Solowjow, Ken Goldberg. IEEE International Conference on Robotics and Automation. [Final Paper]

HOUSTON: Learning Multi-step Handovers of Unmodified Surgical Needles. Albert Wilcox, Justin Kerr, Brijen Thananjeyan, Jeff Ichnowski, Minho Hwang, Samuel Paradis, Danyal Fer, Ken Goldberg. International Conference on Robotics and Automation. [Final Paper]

GOMP-FIT: Grasp-Optimized Motion Planning for Fast Inertial Transport. Jeffrey Ichnowski, Yahav Avigal, Yi Lui, Ken Goldberg. IEEE International Conference on Robotics and Automation. [Final Paper]

Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning. Aditya Ganapathi, Pete Florence, Jake Varley, Kaylee Burns, Ken Goldberg, Andy Zeng. IEEE International Conference on Robotics and Automation. [Final Paper]