Tallat Mahmood

Balochistan University of Information Technology, Engineering and Management Sciences

Papers

Total Citations

H-Index

About

Tallat Mahmood is a robotics researcher specializing in autonomous navigation, motion planning, and deep reinforcement learning, with a particular focus on snake robots for hazardous environments. His work addresses the long-standing challenge of controlling modular, hyper-redundant mechanisms in unknown and complex terrains. Mahmood’s most significant contribution is a novel framework for snake robot motion planning using Double Deep Q-Learning, which enables model-free, adaptive navigation without relying on pre-mapped environments. This work, published in 2021, has garnered 15 citations and lays the foundation for deploying snake robots in real-world scenarios. Expanding on this, his 2023 studies explore deep reinforcement learning for exploration of unknown environments and autonomous navigation tailored to Urban Search and Rescue (USAR) operations. These contributions directly target critical applications where human life is at risk, such as collapsed structures, abandoned nuclear plants, and covert missions. By integrating mapping and locomotion, Mahmood’s research aims to reduce victim mortality rates by enabling faster, safer robotic intervention. His work represents a vital step toward practical, intelligent robotic systems capable of operating where humans cannot.