Rituraj Bhattacharjee
Papers
2
Total Citations
13
H-Index
2
About
Rituraj Bhattacharjee is a robotics and autonomous systems researcher whose work centers on intelligent path planning, obstacle avoidance, and GPS-based navigation for unmanned vehicles. His primary contributions lie in developing novel meta-heuristic optimization algorithms to enhance autonomous navigation in complex environments. He introduced an improved particle swarm optimization (IPSO) technique for path navigation, which significantly outperformed existing methods by enabling more efficient obstacle avoidance and smoother trajectory generation for autonomous vehicles. This work, published in 2021, has garnered 8 citations, establishing a foundation for further research in swarm-based navigation. In a complementary 2020 study with 5 citations, Bhattacharjee implemented a unique path-navigation algorithm called the Smart Algorithm (SAWOA) on a non-holonomic quad-wheel robot, integrating GPS and ultrasonic sensors with an ARM processor. This experimental work demonstrated real-world applicability of his optimization techniques, bridging the gap between theoretical algorithms and practical robotic systems. His research is particularly notable for combining hardware implementation with algorithmic innovation, offering tangible solutions for autonomous vehicle guidance. Bhattacharjee’s work continues to influence the development of more robust, adaptive navigation systems for robotics and autonomous transportation.
Research Focus
Key Achievements
Top Papers
- 1A novel IPSO technique for path navigation and obstacle avoidance8 citations · 2021
- 2