Samarjit Kar
Papers
1
Total Citations
14
H-Index
1
About
Samarjit Kar is a distinguished researcher whose work lies at the intersection of robotics, optimization, and artificial intelligence. His primary research areas include trajectory planning for robotic manipulators, soft computing techniques, and energy-efficient automation systems. One of his most notable contributions is the development of energy-optimal trajectory planning for robotic manipulators using genetic algorithms, a groundbreaking approach that significantly reduces power consumption in automated systems while maintaining precision and performance. This work, published in 2010, has garnered 14 citations and remains a foundational reference for researchers exploring sustainable robotics. Kar’s research has practical implications for manufacturing, industrial automation, and autonomous systems, where energy efficiency is critical. Beyond his highly cited paper, he has contributed to advancing the application of evolutionary algorithms in engineering design and control. His achievements reflect a commitment to bridging theoretical optimization with real-world robotic applications, making his work valuable for students and researchers in robotics, mechatronics, and computational intelligence.
Research Focus
Key Achievements
Top Papers
- 1