M. Royhan Iqbal
Papers
1
Total Citations
2
H-Index
1
About
M. Royhan Iqbal is a robotics researcher whose work centers on autonomous navigation, sensor integration, and robotic systems for competitive and real-world applications. His major contributions include developing innovative corner detection methods using 2-D RPLIDAR technology to enable robots to identify furniture and obstacles in dynamic environments, specifically tailored for the Trinity College International Firefighting Robot Contest (TCIFFRC) tracks. This work addresses the challenge of random robot placement in rooms with varying layouts, enhancing autonomous decision-making in search-and-rescue scenarios. His most-cited paper, "Corner Detection with 2-D RPLIDAR to Detect Furniture on TCIFFRC Tracks" (2020), has garnered 2 citations, reflecting its niche but practical impact on competition-focused robotics. Iqbal’s research bridges the gap between theoretical sensor processing and hands-on robotic competition, demonstrating how lidar-based perception can be optimized for constrained, unpredictable environments. His achievements highlight a commitment to advancing autonomous systems in emergency response contexts, making his work a valuable reference for students and researchers exploring low-cost, efficient navigation solutions for mobile robots.
Research Focus
Key Achievements
Top Papers
- 1Corner Detection with 2-D RPLIDAR to Detect Furniture on TCIFFRC Tracks2 citations · 2020