Andrew Mills
Perception Algorithms Engineer at True Anomaly
Portland, Oregon, United States
Summary
👤
Senior🎓
Top SchoolAndrew Mills is a Perception Algorithms Engineer with 8 years of experience building mapping, planning, and computer vision systems for robots and spacecraft. He holds a PhD in Autonomous Systems from the University of Colorado Boulder and has a track record of turning research into deployed pipelines—from fleet-scale occupancy inference at iRobot to on-orbit camera self-calibration and space object tracking at True Anomaly. His work spans depth-to-map processing, pointcloud and image segmentation, and automated intrinsics/extrinsics calibration, with contributions published at ICRA and IROS and code available on GitHub. A pragmatic problem-solver, he blends rigorous academic grounding with production engineering: he led DARPA SubT planning for Team MARBLE (3rd place) and shipped real-time perception stacks for lidar and camera data. Based in Portland, Andrew is equally comfortable prototyping novel algorithms and hardening them for fielded autonomy in safety-critical systems.
8 years of coding experience
3 years of employment as a software developer
The University of Maryland, College ParkDoctor of Philosophy - PhD, Aerospace Engineering Sciences - Autonomous Systems (AUT), 4.0, Doctor of Philosophy - PhD, Aerospace Engineering Sciences - Autonomous Systems (AUT), 4.0 at University of Colorado BoulderHigh School Diploma, 4.0, High School Diploma, 4.0 at Calvert Hall College High School
Github Skills (3)
planning8
ros8
frontier8
Programming languages (1)
Github contributions (5)
andrewbmills/marble-frontier
Sep 2018 - Aug 2021
Frontier-based exploration for online planning in a 3D map in ROS.
Contributions:267 commits, 244 pushes, 7 branches in 2 years 11 months
3d-mapmaprosplanningfrontier
andrewbmills/ground_finder
Feb 2020 - Oct 2020
Contributions:26 commits, 25 pushes, 1 branch in 8 months
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