Papers
4
Total Citations
19
H-Index
3
About
S. Mahalakshmi is a researcher at the forefront of sustainable robotics and green logistics, dedicated to minimizing the ecological footprint of industrial automation. Her core research integrates multi-objective optimization, robot trajectory planning, and multi-criteria decision-making to design environmentally friendly systems. Her most impactful work, "Productivity improvement of an eco friendly warehouse using multi objective optimal robot trajectory planning" (2019, 11 citations), directly addresses the fact that logistics operations contribute to 10% of global CO2 emissions. By optimizing robot paths in warehouses, she demonstrates how to boost productivity while significantly reducing energy consumption and emissions. Mahalakshmi further advances this field by pioneering the concept of "Green Robotics" (GR) in her 2025 study, applying decision-making frameworks to ensure robots are designed with environmental sustainability as a core objective. She also developed the Dynamically Changing Parameters Particle Swarm Optimization (DCPPSO) algorithm for more efficient articulated robot motion. Through her work, Mahalakshmi is shaping a future where automation and ecological responsibility go hand in hand, offering practical pathways for industries to achieve both operational excellence and sustainability.
Research Focus
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Top Papers
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