S. M. Noorhosseini

Concordia University, McGill University

Papers

2

Total Citations

10

H-Index

2

About

S. M. Noorhosseini’s research centers on robotics and automation, with key contributions in assembly planning and mobile robot navigation. His most notable work introduces the **state matrix representation** for assembly, a novel framework that models inter-relationships between parts and objects to enable automatic robot assembly planning. This approach, detailed in his 1995 paper, has garnered 5 citations and laid groundwork for structured assembly algorithms. Alongside this, Noorhosseini developed the **Goal Oriented Recursive Path-Planning (GORP)** algorithm, a sensor-based method for navigating holonomic mobile robots in unknown environments cluttered with convex and simple non-convex obstacles. GORP’s innovation lies in its ability to find the longest straight path segment, optimizing movement efficiency. This 1993 work also earned 5 citations, reflecting its relevance in early mobile robotics research. Though his citation counts are modest, Noorhosseini’s contributions represent foundational steps in assembly representation and sensor-based path planning, offering elegant solutions to complex spatial reasoning problems. His work remains a reference for researchers exploring automated assembly systems and reactive navigation strategies, demonstrating how theoretical models can directly inform practical robotic behaviors.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
State Matrix Representation of Assembly and Robot Planning
5 citations · 1995
📈 Most Prolific Year: 1995 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Concordia University, McGill University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago