B. G. Sumanth Bhaskar

Papers

Total Citations

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About

B. G. Sumanth Bhaskar’s research centers on intelligent robotics and autonomous navigation, with a particular focus on path planning for mobile robots. His most cited work, "Zone-Based Path Planning of a Mobile Robot Using Genetic Algorithm" (2020), introduces a novel approach that combines zone segmentation with genetic algorithms to optimize robot trajectories in complex environments. This contribution addresses key challenges in robotics—balancing computational efficiency with path optimality—and has garnered attention with 4 citations, marking it as a foundational piece in his field. Bhaskar’s work is notable for its practical applications in industrial automation and autonomous systems, where efficient navigation is critical. By integrating evolutionary computation into zone-based frameworks, he offers a scalable solution that reduces computational overhead while maintaining robust performance. His research not only advances algorithmic design but also provides a tangible pathway for real-world deployment in dynamic settings. For students and researchers exploring robotics, Bhaskar’s contributions exemplify how hybrid approaches can solve persistent problems in autonomous navigation, making his work a valuable reference for those seeking to innovate in mobile robot path planning.