Aniket Gujarathi

Visvesvaraya National Institute of Technology

Papers

Total Citations

H-Index

About

Aniket Gujarathi is a robotics and artificial intelligence researcher whose work sits at the intersection of deep learning, computer vision, and autonomous mobile systems. He is best known for his pioneering contributions to autonomous stair detection and navigation, a technically demanding problem with critical real-world implications for surveillance, search-and-rescue, and military robotics. His 2019 paper on deep learning-based stair detection and statistical image filtering has garnered 38 citations, establishing it as a foundational reference in the field and demonstrating the practical viability of neural network approaches for complex terrain traversal. Complementing this, his work on stair segmentation using behavioral cloning further advanced the sophistication of autonomous locomotion strategies for mobile robots. More recently, Gujarathi extended his expertise toward autonomous delivery systems, reflecting a broader vision for deploying intelligent robots in everyday civilian environments such as hospitals and homes. Across his body of work, he has consistently addressed real operational challenges — sensor integration, environmental perception, and reliable navigation — making his research highly relevant to both academia and industry. With a growing citation record, Gujarathi represents an emerging voice in the future of autonomous robotic systems.