D. Rubinstein
Papers
9
Total Citations
178
H-Index
7
About
D. Rubinstein is a pioneering researcher in agricultural robotics, with a primary focus on developing intelligent harvesting systems for specialty crops. His most significant contributions lie in the optimization of multi-arm robotic harvesters, where he has applied advanced combinatorial approaches—including graph coloring and the Orienteering Problem with Time Windows—to maximize harvest efficiency. Rubinstein’s work on a mobile Cartesian robot for melon harvesting has been particularly influential, with his 2014 paper on harvest-order planning accumulating 67 citations. He has developed comprehensive motion planning algorithms that enable robots to navigate rows of precut melons, calculating time-optimal trajectories and probabilistic harvesting efficiencies. Beyond agricultural robotics, Rubinstein has made notable contributions to structural dynamics, including the direct and inverse dynamics of flexible beams and systems with one-sided boundary conditions. His research bridges theoretical optimization with practical robotic implementation, addressing real-world challenges in automated crop harvesting. With over 150 total citations across his most-cited works, Rubinstein’s interdisciplinary approach continues to inform the design of efficient, high-throughput agricultural robots.
Research Focus
Key Achievements
Top Papers
- 1Harvest-order planning for a multiarm robotic harvester67 citations · 2014
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- 5Direct and inverse dynamics of a very flexible beam13 citations · 1996
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