M. Prasanth
Papers
1
Total Citations
12
H-Index
1
About
M. Prasanth is a robotics researcher whose work focuses on autonomous navigation and path planning for unmanned ground vehicles (UGVs), particularly in high-risk surveillance environments. Their most-cited paper, "A priority based exploration algorithm for path planning of an unmanned ground vehicle" (2014, 12 citations), addresses a critical challenge in robotics: enabling UGVs to operate safely and efficiently in dangerous or inaccessible areas. The proposed priority-based exploration algorithm enhances robot localization and path planning, allowing UGVs to autonomously navigate complex terrains while prioritizing safety and mission objectives. This contribution is especially valuable for applications in disaster response, military reconnaissance, and industrial inspection, where human presence is hazardous. By integrating algorithmic efficiency with real-world deployment considerations, Prasanth’s work bridges the gap between theoretical robotics and practical field operations. Their research underscores the growing importance of intelligent autonomous systems in critical infrastructure and emergency scenarios, demonstrating how algorithmic innovations can directly impact life-saving technologies. With a citation count reflecting foundational relevance, Prasanth continues to advance the frontier of mobile robotics, inspiring future work in adaptive, priority-driven navigation systems.
Research Focus
Key Achievements
Top Papers
- 1