About

Khalid Munawar is a robotics researcher whose work spans humanoid robot navigation, multi-robot cooperation, autonomous systems, and aerial vehicle guidance. He is perhaps best known for his pioneering contributions to footstep planning for humanoid robots, where his human-like approach challenged the limitations of conventional 2D navigation methods by enabling robots to step over or upon obstacles rather than merely circumventing them. This body of work, developed across multiple publications between 2006 and 2011 and accumulating over 60 citations, significantly advanced the field of legged robot motion planning in cluttered environments. Earlier in his career, Munawar made notable contributions to distributed, event-based control architectures for cooperative multi-robot manipulator systems, demonstrating scalable alternatives to centralized control schemes. His research has since broadened to include simultaneous localization and mapping (SLAM) implemented on embedded platforms, as well as 4D trajectory generation for UAV guidance under turbulent conditions. This breadth reflects a consistent drive to make autonomous robots more capable and adaptable across diverse real-world environments. With a career spanning over two decades and contributions at the intersection of planning, control, and autonomy, Munawar's work offers valuable insights for students and researchers advancing intelligent robotic systems.

Research Focus

Key Achievements

6
H-Index
12
Papers
93
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Human-Like Approach to Footstep Planning Among Obstacles for Humanoid Robots
21 citations · 2006
📈 Most Prolific Year: 2007 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: National University of Science and Technology, National University of Sciences and Technology, Tohoku University, King Abdulaziz University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago