Papers
1
Total Citations
2
H-Index
1
About
Dr. Mayank Punetha is a robotics researcher whose work centers on autonomous navigation, sensor-based perception, and low-cost robotic systems. His most-cited paper, "A novel approach for path planning, area explore and area retrieval of an autonomous robot using the low-cost infrared sensors" (2012, 2 citations), introduces innovative algorithms that enable robots to autonomously analyze physical environments using affordable infrared sensors. This work demonstrates his commitment to developing accessible, cost-effective solutions for autonomous exploration and path planning—critical for real-world applications like search-and-rescue or environmental monitoring. Punetha’s contributions lie in bridging the gap between theoretical robotics and practical implementation, emphasizing sensor-driven decision-making for area coverage and retrieval. While his citation count is modest, his research offers foundational insights into low-cost autonomy, inspiring further work in resource-constrained robotics. For students and researchers, Punetha’s approach highlights how creative algorithm design can overcome hardware limitations, making robotics more democratized and applicable in diverse settings.
Research Focus
Key Achievements
Top Papers
- 1