Papers
1
Total Citations
2
H-Index
1
About
Anubhav Kakkar is a robotics researcher whose work centers on autonomous navigation and sensor-based environmental perception. His most cited contribution, "A novel approach for path planning, area explore and area retrieval of an autonomous robot using the low-cost infrared sensors" (2012), introduces innovative algorithms that enable robots to autonomously analyze physical arena characteristics using affordable infrared sensors. This work addresses critical challenges in real-time path planning and area exploration, demonstrating how low-cost hardware can achieve sophisticated spatial understanding through sudden intensity changes in sensor readings. While his citation count remains modest, Kakkar's research holds practical significance for educational robotics and budget-constrained autonomous systems, offering a foundation for cost-effective robotic intelligence. His approach bridges the gap between theoretical path planning and accessible implementation, making autonomous navigation more attainable for smaller-scale projects and developing research environments.
Research Focus
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Top Papers
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