Benjamin Bhatt
Papers
1
Total Citations
6
H-Index
1
About
Benjamin Bhatt is a robotics researcher whose work focuses on advancing autonomous navigation through bio-inspired optimisation algorithms. His primary research areas include mobile robot path planning, meta-heuristic optimisation, and swarm intelligence, with a particular emphasis on developing efficient, nature-inspired solutions for real-world robotic applications. Bhatt’s most notable contribution is the introduction of the Enhanced Firefly Algorithm (EFA), a novel meta-heuristic technique that significantly improves upon the standard Firefly Algorithm for path planning. His highly cited 2024 paper, "Optimised path planning using Enhanced Firefly Algorithm for a mobile robot," demonstrates how EFA enables mobile robots to compute shorter, smoother, and safer paths with faster convergence, addressing a critical challenge in autonomous systems. With 6 citations in a short time, this work has already attracted considerable interest from academics, highlighting its relevance and impact in the field. Bhatt’s research bridges the gap between theoretical optimisation and practical robotics, offering scalable solutions for dynamic environments. His work is particularly valuable for students and researchers exploring intelligent navigation systems, as it provides a clear framework for applying swarm intelligence to complex engineering problems.
Research Focus
Key Achievements
Top Papers
- 1