A. Hourtash
Papers
2
Total Citations
34
H-Index
2
About
A. Hourtash is a researcher in robotics, specializing in manipulator path planning. Their work addresses the fundamental challenge of enabling robot arms to navigate complex environments efficiently. Hourtash’s key contribution is a novel decomposition method that separates a robot manipulator into smaller "chains" of consecutive links and joints. This approach, detailed in their most-cited paper, "Manipulator path planning by decomposition: algorithm and analysis" (2001, 30 citations), forms the basis for a powerful path planning scheme. The method involves an offline preprocessing stage followed by a multi-phase online search, dramatically simplifying the computational complexity of motion planning. A subsequent paper, "Path planning by robot decomposition and parallel search" (2002, 4 citations), refined this concept by introducing a two-phase online scheme and leveraging parallel search techniques to further accelerate planning. While Hourtash’s citation counts reflect a focused, technical audience, their work represents a clever, geometric approach to a core robotics problem, offering a practical framework for reducing the high-dimensional search space inherent in manipulator path planning.
Research Focus
Key Achievements
Top Papers
- 1Manipulator path planning by decomposition: algorithm and analysis30 citations · 2001
- 2Path planning by robot decomposition and parallel search4 citations · 2002