Papers

2

Total Citations

13

H-Index

2

About

A. Semani is a researcher specializing in intelligent robotics, autonomous navigation, and soft-computing methodologies, with a particular focus on mobile robot systems. Their work centers on developing sophisticated navigation frameworks that integrate artificial intelligence techniques to enable robots to operate autonomously in complex environments. Semani's most notable contributions involve the application of Neural Networks (NN) and Fuzzy Logic (FL) to the bi-steerable mobile robot Robucar, a platform that has served as the primary testbed for their research. Their 2011 paper introduced an intelligent navigation approach enabling Robucar to perform obstacle avoidance, target localization, and autonomous decision-making, earning 7 citations. Building on this foundation, their 2013 work extended these principles through a broader soft-computing framework, garnering an additional 6 citations and demonstrating the practical scalability of these methods. What distinguishes Semani's research is the consistent emphasis on real-world implementation rather than purely theoretical modeling, bridging the gap between computational intelligence and physical robotic systems. Their combined citation record reflects a growing recognition within the robotics and artificial intelligence communities of the value of hybrid soft-computing approaches for solving complex autonomous navigation challenges — work that continues to inform emerging research in intelligent mobile robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Neural Networks and Fuzzy Logic navigation approach for a bi-steerable mobile robot
7 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Centre de Développement des Technologies Avancées

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago