Dip Joti Paul
Papers
1
Total Citations
7
H-Index
1
About
Dip Joti Paul is a robotics and automation researcher whose work focuses on developing intelligent, cost-effective systems for real-world challenges. His primary research areas include autonomous navigation, GPS-guided robotics, and the application of mechatronics in disaster management and industrial automation. Paul’s most notable contribution is his 2017 paper on a cost-effective GPS-guided autonomous object transporter robot, which has garnered 7 citations. This work presents a novel, low-cost prototype that calculates heading angles from GPS coordinates to autonomously navigate to prescribed destinations, demonstrating a practical solution for both disaster response scenarios and industrial logistics. By integrating accessible hardware with precise control algorithms, Paul’s research bridges the gap between advanced autonomous systems and deployable, budget-friendly technology. His work is particularly significant for students and researchers interested in affordable robotics, offering a blueprint for building functional autonomous platforms without prohibitive costs. Paul’s contributions highlight the potential of simple, robust designs to address critical needs in safety and efficiency, making him a valuable voice in the field of applied robotics.
Research Focus
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Top Papers
- 1