A. Arokiasamy

Papers

Total Citations

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About

A. Arokiasamy is a researcher advancing the frontiers of **green logistics** and **industrial robotics**, with a focus on making warehouse and manufacturing operations both efficient and environmentally sustainable. Their work directly addresses the critical challenge of reducing the carbon footprint of logistics, a sector responsible for a significant portion of global CO₂ emissions. Arokiasamy’s most cited paper, “Productivity improvement of an eco friendly warehouse using multi objective optimal robot trajectory planning” (2019, 11 citations), pioneers a multi-objective approach to robot path planning that balances productivity with ecological impact, offering a tangible pathway to greener warehousing. Further demonstrating technical depth, their 2021 paper introduces a novel **particle swarm optimisation (PSO) variant**—the constriction coefficient neighbourhood varying inertia weight varying acceleration coefficients PSO (CNVIWVAC PSO)—for precise industrial robot trajectory planning. This innovation, validated through experimental verification, pushes the boundaries of optimisation algorithms for real-world robotic applications. By integrating eco-conscious objectives with cutting-edge computational methods, Arokiasamy’s research provides actionable solutions for the logistics industry, making them a notable contributor to the field of sustainable automation.