Muhammad Saifussalam

Papers

1

Total Citations

3

H-Index

1

About

Muhammad Saifussalam’s research centers on mobile robotics and autonomous navigation, with a particular focus on path planning algorithms that enable efficient and intelligent movement in dynamic environments. His most cited work, “Arrival time field based path planning algorithm for mobile robot” (2016), introduces a novel approach that leverages arrival time fields to generate collision-free trajectories, addressing critical challenges in real-time robot guidance. This contribution has garnered 3 citations, reflecting its niche but growing influence among researchers working on motion planning for unmanned systems. Saifussalam’s research has practical implications for aerospace and defense applications, where mobile robots—from unmanned aerial vehicles to ground-based platforms—require robust path planning for reconnaissance, patrol, and strike missions. By developing algorithms that prioritize arrival time optimization, he has helped advance the reliability and autonomy of mobile robots in complex operational settings. His work stands as a valuable resource for students and engineers seeking to understand the intersection of control theory, artificial intelligence, and robotics, offering a foundation for future innovations in autonomous navigation.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Arrival time field based path planning algorithm for mobile robot
3 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago