Anirudha Bhattacharjee

Papers

Total Citations

H-Index

About

Anirudha Bhattacharjee is a researcher whose work sits at the intersection of robotics, decision science, and optimization. His primary research focus involves applying multi-criteria decision-making (MCDM) techniques to complex engineering problems, particularly in the selection and design of robotic systems. Bhattacharjee’s most notable contribution is his pioneering work on the optimized trade-off technique for robotic gripper selection, detailed in his 2014 paper "Selection of Robotic Grippers Under MCDM Environment: An Optimized Trade Off Technique." This study provided a systematic, mathematically rigorous framework for evaluating and choosing the most suitable gripper for specific industrial tasks—a critical challenge in automation and manufacturing. By integrating MCDM with real-world constraints, his approach helps engineers balance competing factors like cost, payload, and precision. While his citation count (4 for this key paper) reflects a niche but growing interest, his work has laid a foundation for subsequent research in intelligent robotic end-effector selection. Bhattacharjee’s contributions are particularly valuable for students and practitioners seeking to bridge theoretical optimization with practical robotics design, offering a clear methodology for making informed, data-driven decisions in automation.