Raja Mandal
Papers
2
Total Citations
33
H-Index
2
About
Raja Mandal is a researcher at the forefront of sustainable industrial automation, specializing in energy-efficient robotics and intelligent manufacturing systems. His most impactful work introduces a novel BN-LSTM-based energy consumption modeling approach for industrial robot manipulators, which has garnered over 30 citations since its publication in 2023. This contribution is pivotal for optimizing energy usage in manufacturing, reducing operational costs, and minimizing environmental footprints. By integrating Bayesian networks with long short-term memory neural networks, Mandal’s model offers superior predictive accuracy compared to traditional methods, enabling real-time energy management in robotic systems. His research bridges the gap between machine learning and industrial engineering, providing practical tools for smart factories. Mandal’s work is widely recognized for its potential to transform energy efficiency in robotics, making him a notable voice in the field. His achievements underscore a commitment to advancing sustainable technologies, with his 2023 paper serving as a cornerstone for future studies in energy-aware robotic control.
Research Focus
Key Achievements
Top Papers
- 1
- 2