I am a PhD student in the Kahlert School of Computing at the University of Utah where I’m advised by Tucker Hermans. The focus of my PhD is on multifingered grasping and manipulation of everyday objects. The last two years I spent interning at NVIDIA tackling the same problem.
Previously, I earned my M.Sc. degree in Logic and Computation from TU Wien where I was advised by Georg Weissenbacher, and a B.Sc. degree in Computing from University of Zagreb.
Curriculum Vitae (Last updated: May, 2024)
Publications
DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping with Geometric Fabrics [PDF]
Martin Matak*, Tyler Ga Wei Lum*, Viktor Makoviychuk, Ankur Handa, Arthur Allshire, Tucker Hermans, Nathan D. Ratliff, Karl Van Wyk
Conference on Robot Learning (CoRL) 2024.
23 DoF Grasping Policies from a Raw Point Cloud[PDF]
Martin Matak, Karl Van Wyk, Tucker Hermans
IEEE International Conference on Robotics and Automation (ICRA) Workshop on Geometric Representations 2023.
Planning Visual-Tactile Precision Grasps via Complementary Use of Vision and Touch [PDF][short video]
Martin Matak and Tucker Hermans
IEEE Robotics & Automation Letters (RA-L) 2023.
Comparing Piezoresistive Substrates for Tactile Sensing in Dexterous Hands [PDF]
Rebecca Miles, Martin Matak, Mohanraj Devendran Shanthi, Darrin Young, Tucker Hermans
arxiv
Learning Continuous 3D Reconstructions for Geometrically Aware Grasping [PDF]
Mark Van der Merwe, Qingkai Lu, Balakumar Sundaralingam, Martin Matak, Tucker Hermans
IEEE International Conference on Robotics and Automation (ICRA) 2020