Usman Malik

University of the Sciences, National University of Technology, National University of Science and Technology

Papers

Total Citations

H-Index

About

Usman Malik is a researcher whose work lies at the intersection of human-robot interaction, artificial intelligence, and autonomous navigation. His research focuses on two key areas: developing emotionally intelligent systems and creating efficient path-planning algorithms for mobile robots. In his notable work "Towards an Empathizing and Adaptive Storyteller System" (2012, 8 citations), Malik explores how robots and avatars can use real-time emotional feedback to adapt their storytelling, a pioneering step toward more natural human-machine communication. On the technical side, his paper "Sparsed potential-PCNN for real time path planning and indoor navigation scheme for mobile robots" (2011, 4 citations) introduces a novel approach that optimizes Pulse Coupled Neural Networks for faster, more efficient robot movement. Additionally, his "Modified SOM based intelligent semi-autonomous navigation system" (2012, 2 citations) demonstrates how self-organizing maps can enable robots to perceive and navigate complex environments with minimal human input. While his citation counts reflect a focused, early-career impact, Malik’s contributions are significant for their dual emphasis on empathy and efficiency—bridging the gap between socially aware AI and practical robotics. His work offers valuable insights for students and researchers interested in building robots that are not only intelligent but also emotionally responsive.