Pratham Gyanani

Medi-Caps University

Papers

1

Total Citations

3

H-Index

1

About

Pratham Gyanani is a robotics researcher whose work centers on autonomous navigation, sensor integration, and real-time mapping systems. His most cited paper, "Autonomous Mobile Vehicle Using ROS2 and 2D-Lidar and SLAM Navigation" (2024), has garnered 3 citations, showcasing his early but impactful contributions to the field. Gyanani’s research focuses on developing robust frameworks for mobile robots, leveraging ROS2 (Robot Operating System 2) alongside 2D-LiDAR and SLAM (Simultaneous Localization and Mapping) algorithms to enable precise, autonomous movement in dynamic environments. This work addresses critical challenges in indoor navigation, offering scalable solutions for applications in logistics, service robotics, and smart infrastructure. By integrating open-source tools with advanced sensor fusion, Gyanani’s approach emphasizes accessibility and reproducibility, making his findings valuable for both academic researchers and industry practitioners. His contributions highlight a commitment to advancing autonomous vehicle technology, with potential implications for improving efficiency and safety in automated systems. As his citation count grows, Gyanani is establishing himself as a promising voice in robotics, particularly in the intersection of software frameworks and hardware-driven navigation.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous Mobile Vehicle Using ROS2 and 2D-Lidar and SLAM Navigation
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Medi-Caps University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago