Swet Chandan
Papers
1
Total Citations
6
H-Index
1
About
Swet Chandan is a researcher in robotics and artificial intelligence, with a primary focus on inverse kinematics and the automation of industrial manipulators. Their most cited work, "Inverse kinematics analysis of 7-degree of freedom welding and drilling robot using artificial intelligence techniques" (2021, 6 citations), addresses the complex challenge of controlling redundant robotic arms for precision tasks like welding and drilling. By integrating AI methods—such as neural networks or evolutionary algorithms—Chandan’s research provides efficient, real-time solutions for calculating joint configurations, reducing computational overhead compared to traditional analytical approaches. This contribution is pivotal for advancing flexible manufacturing systems, where robots must adapt to varied workpieces and environments. Though early in their career, Chandan’s work has already garnered attention for bridging theoretical kinematics with practical industrial applications. Their findings offer a foundation for developing smarter, more autonomous robots capable of handling high-degree-of-freedom tasks with accuracy and speed. As the field moves toward Industry 4.0, Chandan’s research stands as a key step in making AI-driven robotic control accessible for real-world production lines, promising enhanced productivity and adaptability in automated welding and drilling processes.
Research Focus
Key Achievements
Top Papers
- 1