About me

I am currently a PhD Student in the Autonomous Robtoics and Percetions Group (ARPG) advised by Christoffer Heckman at the CU Boulder in the Computer Science Department.

Background and Areas of Interest

My Area of of fous is generally autonomous robotic systems. More specficily my research focuses on cutting edge deep learning methods to solve problems of verified control, learned dynmaics and terrain prediction and generation. A full list of publications can found in my CV .

Recent Publications

Reed A, Crowe B, Albin D, Achey L, Hayes B, Heckman C (2024). SceneSense: Diffusion Models for 3D Occupancy Synthesis from Partial Observation . 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024. 8 Pages.

Reed, A., Heckman, CR. Looking Around Corners: Generative Methods in Terrain Extension. Robotics Science and System (RSS) Workshop on Inference and Decision Making for Autonomous Vehicles 2023. 4 Pages.

Reed A, Berger G, Sankaranarayanan S, Heckman CR. Verified Path Following Using Neural Control Lyapunov Functions. Conference on Robot Learning (CoRL); 2022.

Experience

I worked at Boeing as a Network Design Engineer for 4 years before returning to school to pursue my PhD. At Boeing I specialized in CANBUS, Ethernet and ARINC 429 design and troubleshooting. I was a Boeing designated expert in CANBUS and lead the CANBUS enterprise product team.

Ph.D Computer Science, 2024 (anticipated), University of Colorado, Boulder

M.S. Electrical Engineering, 2019, University of Washington

B.S. Electrical Engineering, 2017, Gonzaga University

Other

Outside of work I am an avid skier and golfer. I enjoy skiing in the backcountry as much as I do on the resort, and you might catch me cycling in the summer to try to stay in shape!