David Runcan
Papers
1
Total Citations
101
H-Index
1
About
David Runcan is a researcher whose work lies at the intersection of robotics, computer vision, and agricultural automation. His most cited contribution, "A Proposal for Automatic Fruit Harvesting by Combining a Low Cost Stereovision Camera and a Robotic Arm" (2014, 101 citations), proposes an innovative system that integrates a low-cost stereovision camera with a robotic arm mounted on the gripper tool. This design enables the camera to estimate fruit size, distance, and position, while the arm performs precise mechanical harvesting. By focusing on affordability and practicality, Runcan’s work addresses a critical challenge in precision agriculture: making automated harvesting accessible to a wider range of producers. His research has influenced subsequent developments in robotic fruit picking, particularly in the use of stereoscopic sensing for real-time spatial mapping. With over 100 citations, this paper stands as a foundational reference for engineers and agronomists seeking to bridge low-cost hardware with effective automation. Runcan’s contributions highlight the potential of combining off-the-shelf vision systems with robotic manipulation to solve real-world agricultural labor shortages.
Research Focus
Key Achievements
Top Papers
- 1