Dhrubajyoti Gupta
Papers
3
Total Citations
15
H-Index
2
About
Dhrubajyoti Gupta is a researcher at the intersection of robotics, additive manufacturing, and artificial intelligence. His work focuses on integrating advanced computational modeling with physical fabrication to enhance robotic systems. Gupta’s most significant contribution is the development of hybridized artificial neural network-based expert systems for modeling the robotic wire and arc additive manufacturing (WAAM) process. This work, which has garnered 9 citations, demonstrates how AI can optimize complex manufacturing workflows, improving precision and efficiency in 3D printing of metal components. Beyond process modeling, Gupta has explored the design and 3D printing of a quadruped robot, critically analyzing material choices and the trade-offs between additive and conventional manufacturing techniques. He has also employed virtual prototyping technology to model, simulate, and control a robotic hand, addressing the challenging design of prosthetic limbs with precise motion. By combining neural networks, simulation tools, and additive manufacturing, Gupta is advancing the practical application of intelligent robotic systems. His research offers valuable insights for engineers and students working on the next generation of automated manufacturing and bio-inspired robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3