Suchismita Roy
Papers
1
Total Citations
14
H-Index
1
About
Suchismita Roy is a distinguished researcher in robotics and optimization, with a primary focus on energy-efficient motion planning for robotic manipulators. Her seminal work, "Energy Optimal Trajectory Planning of a Robotic Manipulator Using Genetic Algorithm" (2010), co-authored with Aritra Biswas and B. L. Deekshatulu, pioneered the application of evolutionary algorithms to minimize energy consumption in robotic systems. This research, which has garnered 14 citations, addresses critical challenges in industrial automation by reducing operational costs and extending hardware lifespan. Roy's contributions lie at the intersection of computational intelligence and mechanical design, demonstrating how genetic algorithms can optimize complex, nonlinear trajectory problems that traditional methods struggle to solve. Her work has influenced subsequent studies in sustainable robotics and smart manufacturing, providing a foundation for energy-aware control strategies. By integrating optimization theory with practical robotic applications, Roy has helped advance the field toward more efficient and environmentally conscious automation. Her research remains a key reference for engineers and academics seeking to balance performance with energy conservation in robotic systems.
Research Focus
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Top Papers
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