Papers
10
Total Citations
272
H-Index
6
About
Ravi Raj’s research lies at the intersection of mobile robotics, computer vision, and intelligent navigation, with a focus on enabling autonomous systems to operate safely and efficiently in complex, unknown environments. His most influential work, “A Comprehensive Study of Mobile Robot: History, Developments, Applications, and Future Research Perspectives” (163 citations), provides a foundational survey that traces the evolution of mobile robotics from WWII-era innovations to modern applications. Raj has made significant contributions to reinforcement learning-based navigation, developing control strategies that allow mobile robots to adapt in real-time to dynamic surroundings. He has also advanced the use of convolutional neural networks for robotic perception, improving how machines interpret visual data. His work on energy- and time-constrained path planning using particle swarm optimization addresses critical real-world challenges in autonomous manufacturing and warehouse logistics. Additionally, Raj explores human-robot interaction through machine learning and sensor fusion, aiming to make assistive robots more responsive and intuitive. With over 270 total citations across his publications, Raj is establishing himself as a thoughtful contributor to the future of intelligent, autonomous mobile systems.
Research Focus
Key Achievements
Top Papers
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- 6Different Techniques for Human Activity Recognition10 citations · 2022
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- 9Learning the Dynamics of Human Patterns for Autonomous Navigation3 citations · 2024
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