Papers
8
Total Citations
397
H-Index
7
About
Anthony Rowe is a pioneering researcher in embedded vision systems, robotics, and radar-based sensing, whose work spans over two decades of innovation at the intersection of low-cost perception and autonomous systems. He is perhaps best known for developing the CMUcam series — a landmark line of open-source, embedded computer vision platforms that democratized visual sensing for robotics and education. Beginning with a foundational prototype in 2001 and progressing through multiple generations, the CMUcam systems collectively amassed over 250 citations, with CMUcam3 alone earning 116, reflecting their widespread adoption in academic and hobbyist communities worldwide. More recently, Rowe has pushed the frontiers of mmWave radar sensing, leading research that applies machine learning to generate high-resolution, lidar-quality point clouds from low-cost radar hardware — work that has garnered 69 citations since 2023 and holds significant promise for robotics operating in degraded visual environments. His contributions to subterranean exploration with multi-robot teams further underscore his systems-level thinking, earning 50 citations for tackling real-world autonomy challenges in GPS-denied environments. Across his career, Rowe exemplifies a researcher who bridges accessible hardware design with cutting-edge perception research, making sophisticated robotics capabilities broadly available.
Research Focus
Key Achievements
Top Papers
- 1CMUcam3: An Open Programmable Embedded Vision Sensor116 citations · 2018
- 2A low cost embedded color vision system101 citations · 2003
- 3High Resolution Point Clouds from mmWave Radar69 citations · 2023
- 4
- 5A Second Generation Low Cost Embedded Color Vision System37 citations · 2006
- 6
- 7A Simple Low Cost Color Vision System8 citations · 2001
- 8RadarHD: Demonstrating Lidar-like Point Clouds from mmWave Radar6 citations · 2023