Prajwal Prabhu
Papers
2
Total Citations
9
H-Index
2
About
Prajwal Prabhu is a researcher at the forefront of industrial robotics and automation, with a focused interest in the intersection of Industry 4.0 technologies and intelligent warehouse systems. His work addresses critical challenges in autonomous mobile robot (AMR) motion planning, particularly for smart warehouse environments. In his most cited work, a 2021 feasibility study (6 citations), Prabhu systematically evaluates motion planning algorithms—including Rapidly-exploring Random Trees (RRT) and Vector Field Histogram (VFH)—for multi-AMR coordination, providing foundational insights for efficient, collision-free logistics in modern industrial settings. Beyond technical algorithms, Prabhu is also concerned with bridging the gap between cutting-edge automation and education. His 2020 paper (3 citations) offers a unique Indian perspective on integrating robotics and automation into academic curricula, highlighting the urgent need to prepare the next generation for a rapidly automating workforce. By combining rigorous algorithmic analysis with a vision for educational reform, Prabhu’s work contributes both to the practical deployment of intelligent robots and to the broader societal adaptation required for Industry 4.0.
Research Focus
Key Achievements
Top Papers
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