Papers

1

Total Citations

6

H-Index

1

About

E. Rebekah N.A. is a robotics researcher whose work centers on motion planning and control for robotic manipulators, with a particular focus on artificial potential field methods. Her most cited paper, "The Laplacian Artificial Potential Field (LAPF) for the Path Planning of Robotic Manipulators" (2008, 6 citations), introduces a novel approach to constructing potential fields by solving the Laplace equation discretely. This method enables efficient and collision-free path planning in both two- and three-dimensional configuration spaces, addressing key challenges in robotic manipulation. Her contributions are notable for advancing the theoretical foundations of potential field navigation, offering a mathematically robust alternative to traditional techniques. While her citation count reflects a specialized niche, the LAPF framework has influenced subsequent work in autonomous robotics and path optimization. E. Rebekah N.A.’s research demonstrates a commitment to developing elegant, computationally tractable solutions for complex robotic systems, making her a valuable contributor to the field of motion planning.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
The Laplacian Artificial Potential Field (LAPF) for the Path Planning of Robotic Manipulators
6 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Universidad Autónoma de Zacatecas "Francisco García Salinas"

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago