Schmittle

About Me

Matt "Schmittle" Schmittle

P.h.D. Student

University of Washington

I am currently a final year P.h.D. candidate studying under Sidd Srinivasa in the Personal Robotics Lab.

My research lies on the border of motion planning and perception focusing on off-road autonomous robots navigating under uncertainty in unstructured terrains. Autonomous off-road navigation has been a problem of interest since the late 80s. While old, I enjoy finding how new methods (foundation models, RL, etc) present novel ways of looking at old problems in off-road autonomy.

In the past, I was the global planning lead for the UW RACER team building a real-time medium range planning stack and a geospatial global planner. Prior to that, I worked on growing the MuSHR project as a whole. MuSHR is a low-cost robotic car platform for education and research.

I enjoy giving talks about my work and field robotics in general! Please email me if you want to set one up at mattschmittle[gmail]

CV

Select Publications

For all publications see my scholar page

Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving

Matt Schmittle, Rohan Baijal, Brian Hou, Siddhartha Srinivasa, Byron Boots

International Conference on Robotics and Automation (ICRA), 2024

Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps

Matt Schmittle*, Rohan Baijal*, Nathan Hatch, Rosario Scalise, Mateo Guaman Castro, Sidharth Talia, Khimya Khetarpal, Byron Boots, Siddhartha Srinivasa

Under Review

MuSHR: A low-cost, open-source robotic racecar for education and research

Siddhartha S. Srinivasa, Patrick Lancaster, Johan Michalove, Matt Schmittle, Colin Summers, Matthew Rockett, Rosario Scalise, Joshua R. Smith, Sanjiban Choudhury, Christoforos Mavrogiannis, Fereshteh Sadeghi

Preprint

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