Gideon Sahar

Massachusetts Institute of Technology, University of Edinburgh

Papers

Total Citations

305

H-Index

About

Gideon Sahar is a pioneering figure in robotics, best known for his foundational work on the optimal control and trajectory planning of robotic manipulators. His research centers on solving the long-standing challenge of generating minimum-time paths for robot arms—a problem critical to industrial automation and high-speed manufacturing. Sahar’s major contribution is a general solution that integrates joint-space tessellation, a dynamic time-scaling algorithm, and graph search, all while incorporating the full dynamics of movement. This approach, detailed in his seminal 1986 paper, has garnered 190 citations, establishing a benchmark for efficiency in robotic motion. A subsequent 2005 refinement of this work, with 115 citations, further solidified his impact by addressing practical implementation challenges. Sahar’s innovations have directly influenced the design of faster, more precise robotic systems, reducing cycle times in assembly lines and enabling complex maneuvers in constrained environments. His work remains a cornerstone for researchers in robotics and control theory, demonstrating how rigorous algorithmic thinking can transform theoretical problems into real-world solutions.