Akshay Mohan
Papers
1
Total Citations
2
H-Index
1
About
Akshay Mohan’s research bridges artificial intelligence and robotics, with a focus on motion planning and control systems. His most-cited work, "Genetic-Fuzzy Approach in Robot Motion Planning Revisited: Rigorous Testing and towards an Implementation" (2002), introduces a hybrid methodology that combines genetic algorithms with fuzzy logic to optimize robot navigation in dynamic environments. This contribution offers a rigorous testing framework, enhancing the adaptability and efficiency of autonomous systems. While his citation count remains modest, the paper’s foundational approach has influenced subsequent studies in computational intelligence for robotics. Mohan’s work underscores the potential of integrating evolutionary computation with decision-making algorithms, paving the way for more robust implementations in real-world applications. His research is particularly valuable for students and engineers exploring adaptive control in robotics, demonstrating how theoretical models can be validated through systematic testing. By revisiting classic problems with modern techniques, Mohan contributes to the ongoing evolution of intelligent automation, making his work a stepping stone for future innovations in autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1