Muhammad Muneeb Saleem
Papers
2
Total Citations
8
H-Index
2
About
Muhammad Muneeb Saleem is a researcher in robotics and artificial intelligence, with a focus on autonomous navigation, swarm intelligence, and multi-objective path planning. His work addresses critical challenges in deploying mobile robots in hazardous environments, such as rescue operations and battlefields, where robots must evade dangers like fire, landmines, or combatants while completing tasks. Saleem’s notable contributions include developing an economic simultaneous localization and mapping (SLAM) system for remote mobile robots using SONAR and an innovative AI algorithm, which enhances cost-effective autonomy. He also advanced swarm intelligence-based multi-objective path planning, enabling robots to navigate cluttered, danger-laden spaces efficiently. Though his citation counts are modest—5 for his SLAM paper and 3 for his path planning work—his research lays groundwork for safer, smarter robotic systems in high-stakes scenarios. Saleem’s achievements reflect a commitment to practical, real-world robotics solutions, making his work valuable for students and researchers exploring autonomous systems, sensor fusion, and intelligent navigation in complex environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2