Vivek Hanumante

Papers

Total Citations

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About

Dr. Vivek Hanumante is a robotics and computer vision researcher whose work bridges practical engineering solutions with intelligent systems. His most influential contribution, the "Low Cost Obstacle Avoidance Robot" (2014, 20 citations), introduced a dynamic steering algorithm that enables mobile robots to navigate unknown environments without stopping at obstacles—a significant advancement for affordable, real-world autonomous navigation. This work demonstrates his focus on cost-effective, robust robotic systems. Dr. Hanumante also contributed to the field of document analysis with "A Novel Approach for Character Recognition" (2014, 4 citations), where he developed an efficient method for printed text recognition, addressing key challenges in optical character recognition (OCR) for robotics and computer vision applications. His research interests center on low-cost robotics, obstacle avoidance, and character recognition, with an emphasis on creating accessible, high-performance solutions. By prioritizing affordability without sacrificing functionality, Dr. Hanumante’s work has influenced both academic research and practical implementations in autonomous systems, making him a notable figure in the development of intelligent, resource-efficient robotic technologies.