V. Rihani
Papers
1
Total Citations
6
H-Index
1
About
V. Rihani is a robotics researcher whose work focuses on the intersection of autonomous navigation and artificial intelligence. Their most-cited paper, "Motion Planning of an Autonomous Mobile Robot Using Artificial Neural Network" (2012), with 6 citations, introduces a novel approach to robot motion planning by integrating artificial neural networks for decision-making. Rihani’s key contribution lies in designing an electronic system that enables a mobile robot to learn and execute precise straight-line motion and turns autonomously, using ANN-calculated weights to guide its behavior. This work demonstrates a practical application of machine learning in robotics, reducing the need for pre-programmed instructions and enhancing adaptability in dynamic environments. While their citation count is modest, Rihani’s research is notable for its early adoption of neural networks in embedded robotic systems, paving the way for more intelligent, self-learning autonomous platforms. Their work is particularly relevant for students and researchers interested in low-cost, efficient solutions for mobile robot control and the integration of AI in real-time decision-making.
Research Focus
Key Achievements
Top Papers
- 1