S. M. Haider Jafri

Indian Institute of Information Technology Allahabad

Papers

Total Citations

H-Index

About

S. M. Haider Jafri is a researcher specializing in mobile robotics, with a focus on autonomous navigation and collision avoidance in complex, real-world environments. His work bridges classical path planning and modern deep learning, particularly for outdoor and dynamic settings. His most cited paper, "Path Planning of a Mobile Robot in Outdoor Terrain" (2015, 10 citations), addresses foundational challenges in navigating uneven, unstructured landscapes. More recently, Jafri has pioneered end-to-end learning approaches for obstacle avoidance, as demonstrated in his 2022 paper "End-to-end human inspired learning based system for dynamic obstacle avoidance" (4 citations), which models and learns specific behaviors for avoiding moving obstacles—a novel contribution to the field. He further advanced this line of research with "Dynamic Head-on Robot Collision Avoidance Using LSTM" (2022, 2 citations), applying recurrent neural networks to predict and evade head-on collisions. While his citation counts are modest, Jafri’s work is notable for integrating human-inspired learning strategies into autonomous systems, offering practical solutions for safer robot navigation in unpredictable environments. His research is particularly relevant for students and engineers working on real-world robotics applications.