Garima Chandore

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About

Garima Chandore is an emerging researcher in the field of autonomous robotics, with a focused expertise in navigation systems, sensor integration, and simultaneous localization and mapping (SLAM). Her most-cited work, "Autonomous Mobile Vehicle Using ROS2 and 2D-Lidar and SLAM Navigation" (2024), has already garnered 3 citations, signaling early impact in a rapidly advancing domain. In this study, Chandore demonstrates a practical, scalable framework for building autonomous mobile vehicles by leveraging the Robot Operating System 2 (ROS2) and 2D-LiDAR sensors, addressing key challenges in real-time mapping and path planning. Her contributions bridge the gap between theoretical SLAM algorithms and deployable robotic systems, offering a blueprint for cost-effective autonomous navigation in indoor environments. While early in her career, Chandore’s work is notable for its hands-on integration of open-source tools and hardware, making advanced robotics more accessible to students and practitioners. As autonomous systems continue to permeate logistics, service robotics, and smart infrastructure, Chandore’s research lays a foundational stone for efficient, ROS2-based navigation solutions, positioning her as a promising voice in the next generation of roboticists.