Papers
2
Total Citations
8
H-Index
2
About
Yash Agrawal is an emerging researcher specializing in autonomous robotics, mobile navigation systems, and simultaneous localization and mapping (SLAM) technologies. His work focuses on developing robust and precise solutions for autonomous mobile robots, leveraging cutting-edge tools such as Light Detection and Ranging (LiDAR), the Robot Operating System (ROS), and Adaptive Monte Carlo Localization techniques. Agrawal's most notable contributions include his papers on autonomous navigation frameworks — ANROL and ANROLA — both published in 2023, which together have garnered 8 citations in a short period, reflecting the immediate relevance of his work to the robotics community. These studies propose sophisticated localization and navigation schemes that integrate Hector SLAM with laser odometry, offering practical and scalable approaches to real-world autonomous robot deployment. Though early in his research career, Agrawal demonstrates a clear and focused research trajectory in intelligent robotics systems. His technical contributions are particularly valuable for students and engineers working on autonomous vehicles, warehouse robotics, and service robots, where reliable navigation in dynamic environments remains a critical challenge. His work signals a promising future in the field of autonomous systems engineering.
Research Focus
Key Achievements
Top Papers
- 1ANROL: Autonomous Navigation based on ROS and Laser Odometry6 citations · 2023
- 2ANROLA: Autonomous Navigation with ROS and Laser Odometry2 citations · 2023