M. A. Khattak
Papers
1
Total Citations
2
H-Index
1
About
M. A. Khattak is a robotics researcher whose work centers on autonomous mobile robot navigation and sensor-based mapping. His most cited contribution, "2D Occupancy Grid Mapping with Inverse Range Sensor Model" (2015), presents a practical system for real-time environment mapping using a laser range finder. The paper details a robust approach to occupancy grid mapping that processes and exchanges data between sensors and control systems, enabling robots to build accurate spatial representations of their surroundings. While his citation count remains modest, this work demonstrates foundational expertise in probabilistic robotics and sensor fusion—critical areas for autonomous systems. Khattak’s research addresses the core challenge of how robots perceive and model unknown environments, a problem central to fields like warehouse automation, search-and-rescue robotics, and autonomous driving. His contributions highlight the importance of inverse sensor models in improving mapping accuracy under real-world constraints. For students and researchers exploring mobile robotics, Khattak’s work offers a clear, applied example of occupancy grid mapping techniques that bridge theoretical models with practical implementation.
Research Focus
Key Achievements
Top Papers
- 12D occupancy grid mapping with inverse range sensor model2 citations · 2015