Papers
10
Total Citations
114
H-Index
5
About
Fouad Sukkar is a robotics researcher whose work lies at the intersection of precision agriculture, human-robot collaboration, and autonomous manipulation. His most impactful contribution is a robotic system for autonomously pruning fruit trees, which addresses a major cost in fresh-market fruit production—a problem that has received far less attention than harvesting. This work, his most cited paper (39 citations), introduces an efficient planning and control framework for dormant pruning, demonstrating the potential for robotics to transform labor-intensive agricultural tasks. Sukkar has also advanced multi-robot perception and reconstruction, developing a Dec-MCTS framework for region-of-interest reconstruction using multiple robot arms and RGB-D sensors (37 citations). More recently, he has focused on enabling safe, active human-robot collaboration through interactive distance field mapping and planning, with frameworks that handle dynamic objects and facilitate natural interactions in shared workspaces. His research consistently emphasizes practical, real-world deployment, from low-cost RGB-D segmentation of fruit to fast, database-driven motion planning for repetitive manipulator tasks. With over 100 citations across his publications, Sukkar is establishing himself as a key figure in bringing robotic autonomy to agriculture and collaborative manufacturing.
Research Focus
Key Achievements
Top Papers
- 1An Efficient Planning and Control Framework for Pruning Fruit Trees39 citations · 2020
- 2Multi-Robot Region-of-Interest Reconstruction with Dec-MCTS37 citations · 2019
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- 9Dynamic Object Detection in Range data using Spatiotemporal Normals2 citations · 2023
- 10Constrained Bootstrapped Learning for Few-Shot Robot Skill Adaptation1 citations · 2024