Mukesh Sethy

National Institute of Technology Rourkela

Papers

Total Citations

H-Index

About

Dr. Mukesh Sethy is a robotics researcher whose work centers on intelligent navigation for humanoid robots in complex, cluttered environments. His primary contributions lie at the intersection of computer vision and bio-inspired optimization algorithms, developing systems that enable humanoids to perceive their surroundings and plan safe, efficient paths autonomously. His most cited work, "An intelligent computer vision integrated regression based navigation approach for humanoids in a cluttered environment" (2018, 11 citations), introduces a novel regression-based framework that fuses visual data with predictive modeling to guide robot movement through obstacles. Building on this, his firefly-based approach (2021) applies swarm intelligence principles to navigation, demonstrating how nature-inspired algorithms can solve real-world robotic path planning challenges. Though his citation counts are modest, Sethy’s research addresses a critical bottleneck in industrial automation and smart manufacturing: enabling humanoids to operate reliably in dynamic, unpredictable spaces. His work is particularly notable for its practical focus on integrating low-cost vision systems with lightweight computational models, making advanced navigation accessible for real-world deployment. For students and researchers in robotics, Sethy’s studies offer a clear example of how computer vision and optimization can converge to create more autonomous, adaptable humanoid systems.