Piyush Tailor
Papers
1
Total Citations
1
H-Index
1
About
Piyush Tailor is a researcher in robotics and autonomous systems, with a focus on simultaneous localization and mapping (SLAM) for ground-based robots. His most-cited work, "Design of a SLAM Map Building System for a Ground-Based Robot Using ROS" (2021), demonstrates his expertise in integrating Robot Operating System (ROS) frameworks to develop robust map-building algorithms. This contribution addresses critical challenges in autonomous navigation, enabling robots to construct accurate environmental maps in real-time—a foundational capability for applications in exploration, logistics, and service robotics. While his citation count is currently modest, Tailor’s work reflects a hands-on, systems-level approach to robotics, bridging theoretical SLAM methods with practical implementation. His research holds promise for advancing low-cost, scalable robotic solutions, particularly in unstructured or GPS-denied environments. Tailor’s dedication to open-source tools like ROS underscores his commitment to accessible, reproducible research, positioning him as an emerging voice in the field of autonomous mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1Design of a SLAM Map Building System for a Ground-Based Robot Using ROS1 citations · 2021