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About

V. Sathiya is a leading researcher at the intersection of robotics, evolutionary computation, and green engineering. Her primary research areas include multi-objective optimization, mobile robot trajectory and path planning, and sustainable robotics design. She is best known for pioneering the application of advanced evolutionary algorithms to complex robotic navigation problems. Her most cited work, "Evolutionary Algorithms-Based Multi-Objective Optimal Mobile Robot Trajectory Planning" (67 citations), introduced a novel heterogeneous multi-objective differential evolution variant and compared it against the classic NSGA-II, setting a benchmark in the field. She further advanced the domain with "Mobile robot path planning using fuzzy enhanced improved Multi-Objective particle swarm optimization (FIMOPSO)" (59 citations), demonstrating how fuzzy logic can enhance swarm intelligence for more robust navigation. Demonstrating a unique interdisciplinary vision, Sathiya also applies these optimization techniques to green supply chain management, as seen in her work on used-car resale logistics (45 citations). Her recent focus on "Green Robotics" aims to embed environmental sustainability into robot design using multi-criteria decision-making, a forward-looking contribution that positions her at the forefront of eco-conscious robotics.