Tanvi Mahajan
Papers
2
Total Citations
4
H-Index
1
About
Tanvi Mahajan is a robotics researcher whose work centers on autonomous navigation, simultaneous localization and mapping (SLAM), and object detection using the Robot Operating System (ROS). Her most-cited paper, "ROS Simulation-Based Autonomous Navigation Systems and Object Detection" (2022), has garnered 3 citations, demonstrating her contribution to integrating perception and control in simulated environments. In her earlier work, "Design of a SLAM Map Building System for a Ground-Based Robot Using ROS" (2021), she advanced practical methods for real-time map construction in ground-based robots. Mahajan’s research bridges simulation and real-world deployment, offering accessible frameworks for roboticists developing autonomous systems. Her focus on ROS-based solutions highlights her commitment to open-source tools that accelerate prototyping and education in robotics. Though early in her career, her publications provide foundational insights for students and researchers exploring autonomous navigation and sensor fusion.
Research Focus
Key Achievements
Top Papers
- 1ROS Simulation-Based Autonomous Navigation Systems and Object Detection3 citations · 2022
- 2Design of a SLAM Map Building System for a Ground-Based Robot Using ROS1 citations · 2021