Prasad Borle

About

Prasad Borle is a researcher in robotics and autonomous systems, with a focus on simulation-based navigation and simultaneous localization and mapping (SLAM). His work centers on developing practical, ROS (Robot Operating System)-based solutions for ground-based robots, enabling them to perceive and navigate complex environments. His most-cited paper, "ROS Simulation-Based Autonomous Navigation Systems and Object Detection" (2022), has garnered 3 citations, demonstrating early impact in integrating object detection with autonomous navigation in simulated settings. A related study, "Design of a SLAM Map Building System for a Ground-Based Robot Using ROS" (2021), further explores map construction for real-time robot localization. Borle’s contributions are notable for bridging simulation and real-world deployment, offering scalable frameworks for robotics education and research. His work provides foundational tools for students and engineers building intelligent, self-driving ground vehicles, highlighting the growing importance of ROS in modern robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   ROS Simulation-Based Autonomous Navigation Systems and Object Detection

   3 citations · 2022
2. 2
   Design of a SLAM Map Building System for a Ground-Based Robot Using ROS

   1 citations · 2021

Key Collaborators

Contact & Links