My name is Mike Danielczuk, and I’m a fifth-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.
- February 1, 2022 : I’m excited to announce that I’ll be graduating in May and working at Ambi Robotics! Can’t wait to apply some of the research I’ve spent the last five years on to the supply chain as part of an amazing company.
- January 31, 2022 : Three papers I worked on in collaboration with other members of the Autolab on adapting Incremental Potential Contact (IPC) to grasping, online exploration of grasps on novel objects, and mechanical search using a novel “bluction” tool were accepted at ICRA 2021!
- September 27, 2021 : Two 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 presented at IROS 2021.