My name is Mike Danielczuk, and I’m a fourth-year PhD student and NSF Graduate Research Fellow in EECS at UC Berkeley. I am advised by Professor Ken Goldberg of the UC Berkeley AUTOlab. My work focuses on robotic perception and manipulation, ranging from instance segmentation to area contact modeling and robotic pushing to increase grasp success. Specifically, I am very interested in how we can use simulation to generate large datasets for deep learning methods, thus avoiding expensive hand-labeling. I received my BSE in Electrical Engineering from Princeton University.
I also enjoy running and hiking in the many beautiful California parks around the Berkeley area, and I am an avid New England sports fan.
- June 30, 2021 : Papers on mechanical search in lateral-access environments in collaboration with Raven Huang and other AUTOLab members and a smart tactile-sensing vacuum gripper in collaboration with Tae Myung Huh and Prof. Hannah Stuart’s Embodied Dexterity Group group were accepted to IROS 2021!
- June 1, 2021 : My paper on using learned collision functions for object rearrangement with Arsalan Mousavian, Clemens Eppner and Dieter Fox from my summer internship in the NVIDIA Seattle Robotics Lab was presented at ICRA 2021. A full video of the presentation is available here.
- June 1, 2021 : Three papers (coming soon) I worked on in collaboration with other members of the Autolab were accepted to CASE 2021!