Papers
9
Total Citations
204
H-Index
5
About
M. Chinnadurai is a leading researcher in mobile robotics and evolutionary optimization, with a focus on multi-objective trajectory planning and green robotics. Their most impactful work, an evolutionary algorithms-based approach to mobile robot trajectory planning (67 citations), introduced a novel heterogeneous multi-objective differential evolution technique alongside NSGA-II, setting a benchmark for efficient path planning in complex environments. Expanding on this, Chinnadurai developed the fuzzy-enhanced improved multi-objective particle swarm optimization (FIMOPSO) method (59 citations), which significantly improved path planning under uncertainty. Their research extends to applied domains, including green supply chain management for used-car resale companies (45 citations) and cloud-based robotic systems for smart city crowd control (18 citations). Notably, Chinnadurai is pioneering the field of green robotics, integrating multi-criteria decision-making to design environmentally sustainable mobile robots—an emerging area with growing recognition. With over 200 total citations, their work bridges theoretical optimization and practical, eco-conscious robotics, making substantial contributions to autonomous navigation and sustainable technology.
Research Focus
Key Achievements
Top Papers
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- 8Wheeled Mobile Robot Trajectory Planning Using Evolutionary Techniques2 citations · 2021
- 9Green and Sustainable Mobile Robots Design - a MCDM Approach2 citations · 2021