Fadi Alladkani
Papers
3
Total Citations
40
H-Index
3
About
Fadi Alladkani is a robotics researcher focused on advancing autonomous manipulation and industrial automation. His work spans two key areas: benchmarking robotic dexterity and enabling robotic systems for hazardous recycling tasks. In his most influential paper, "Benchmarking Cluttered Robot Pick-and-Place Manipulation With the Box and Blocks Test" (2019, 32 citations), Alladkani introduced a novel benchmark adapted from human rehabilitation medicine to assess robotic manipulation in cluttered environments. This work provides a standardized, reproducible method for evaluating pick-and-place capabilities, offering the robotics community a valuable tool for comparing system performance. More recently, Alladkani has tackled the dangerous, labor-intensive domain of metal scrap recycling. His 2023 paper on feature-driven next view planning for cutting path generation (5 citations) and his 2021 work proposing a human-robot collaborative framework for scrap cutting (3 citations) address critical challenges in unstructured scrapyards. By developing pipelines where workers mark cutting locations and robots autonomously generate trajectories, Alladkani’s research aims to improve safety and efficiency in recycling while leveraging human expertise. His contributions bridge fundamental manipulation benchmarks with real-world industrial applications, demonstrating a commitment to both rigorous evaluation and practical impact.
Research Focus
Key Achievements
Top Papers
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