Douglas Plaza Guingla
Papers
1
Total Citations
26
H-Index
1
About
Dr. Douglas Plaza Guingla is a leading researcher in robotic manipulation and industrial automation, with a particular focus on vision-based grasping systems. His work bridges the gap between perception and action, developing algorithms that enable robots to interact intelligently with their environment. His most cited paper, "A 3D vision based approach for optimal grasp of vacuum grippers" (2017, 26 citations), addresses a critical challenge in industrial robotics: how to efficiently manipulate large, bulky objects. While most research concentrates on multi-finger grippers, Dr. Plaza Guingla pioneered methods for vacuum grippers, which are essential for handling oversized items. His approach uses 3D vision to estimate the optimal placement of suction cups, significantly improving picking reliability and reducing damage. This contribution has direct applications in logistics, manufacturing, and warehouse automation. His work demonstrates a keen ability to solve practical, real-world problems through rigorous computational methods. With a growing citation record, Dr. Plaza Guingla is establishing himself as a key innovator in the field of intelligent robotic grasping, making industrial processes more efficient and autonomous.
Research Focus
Key Achievements
Top Papers
- 1A 3D vision based approach for optimal grasp of vacuum grippers26 citations · 2017