Virendra Kumar

Central Mechanical Engineering Research Institute

Papers

Total Citations

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About

Dr. Virendra Kumar’s research centers on advancing autonomous mobile robotics, with a particular focus on simultaneous localization and mapping (SLAM) and sensor-based perception. His most cited work, “Simultaneous Localisation and Image Intensity Based Occupancy Grid Map Building – A New Approach” (2012), introduces a novel method that integrates laser range finder (LRF) data with image intensity information to construct occupancy grid maps. By employing cross-correlation for image matching, Kumar developed a robust algorithm for pose estimation in static environments, enabling a mobile robot to accurately localize itself while building a detailed map. This contribution addresses a fundamental challenge in robotics—balancing real-time mapping with precise localization—and has garnered 8 citations, reflecting its relevance to researchers in autonomous navigation. Kumar’s approach stands out for its innovative fusion of visual and range data, offering a practical solution for improving robot autonomy in structured settings. His work is particularly valuable for students and engineers exploring SLAM techniques, as it provides a clear framework for integrating multiple sensor modalities. Through this research, Kumar has established himself as a contributor to the foundational tools that drive modern mobile robotics.