N.Mrujool Kansara
Papers
1
Total Citations
2
H-Index
1
About
N. Mrujool Kansara is a researcher whose work centers on robotics and autonomous navigation, with a particular focus on obstacle detection and path-planning algorithms. In their most-cited paper, "Obstacle Detection and Path Crossover Using Fire Bird V Robot" (2016), Kansara demonstrated a practical approach to enabling small-scale robots to identify and negotiate obstacles in real time, using the Fire Bird V platform as a testbed. This contribution, while modest in citation count (2), reflects an early and hands-on engagement with the challenges of mobile robotics—specifically, how to integrate sensor data with control logic for safe, efficient traversal in constrained environments. Kansara’s work is notable for its emphasis on low-cost, accessible hardware, making it relevant for educational robotics and prototyping. Their research underscores the importance of bridging theoretical path-planning concepts with real-world implementation, a skill critical for advancing autonomous systems. Though their publication record is concise, Kansara’s focus on practical, teachable robotics solutions offers a foundation for students and researchers exploring the intersection of sensor fusion, embedded systems, and autonomous mobility.
Research Focus
Key Achievements
Top Papers
- 1Obstacle Detection and Path Crossover Using Fire Bird V Robot2 citations · 2016