Saurabh Kulkarni

Papers

Total Citations

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About

Saurabh Kulkarni is a robotics researcher specializing in autonomous navigation, simultaneous localization and mapping (SLAM), and object detection within the Robot Operating System (ROS) framework. His work focuses on bridging simulation and real-world deployment for ground-based robots, with key contributions in developing ROS-based systems that enable robust map building and environmental perception. Kulkarni’s most cited paper, "ROS Simulation-Based Autonomous Navigation Systems and Object Detection" (2022, 3 citations), demonstrates how simulated environments can accelerate the development of navigation and detection algorithms, reducing costs and risks before hardware implementation. His earlier work, "Design of a SLAM Map Building System for a Ground-Based Robot Using ROS" (2021, 1 citation), lays foundational methods for creating accurate spatial maps from sensor data. While his citation counts are modest, Kulkarni’s research is notable for its practical, open-source approach, making advanced robotics techniques accessible to students and small-scale developers. His achievements include integrating computer vision with ROS to enhance real-time decision-making in autonomous systems, positioning him as a rising contributor to accessible robotics education and applied autonomy.