Michael Romeo
Papers
1
Total Citations
6
H-Index
1
About
Michael Romeo is a pioneering roboticist whose work sits at the intersection of agricultural automation and computer vision. His primary research focuses on developing intelligent, real-time sensing systems for precision agriculture, with a particular emphasis on robotic harvesting and in-field fruit quality inspection. Romeo’s most significant contribution is the introduction of the “eye-in-finger” configuration, a novel approach that integrates a vision sensor directly into a robotic gripper. This innovation, detailed in his highly cited 2025 paper, allows for the first-ever pre-harvest fruit defect detection combined with the harvesting action itself. His system achieves an impressive 98% precision in identifying apple defects while operating in real-time, using less than 20% of a Jetson Orin’s computational capacity—a breakthrough in efficiency. This work has already garnered 6 citations, signaling its rapid impact on the field. By enabling robots to both see and feel the fruit they handle, Romeo is solving a critical bottleneck in agricultural robotics, paving the way for more autonomous, waste-reducing food production systems.
Research Focus
Key Achievements
Top Papers
- 1Finger vision enabled real-time defect detection in robotic harvesting6 citations · 2025