Jamshed Iqbal

Papers

1

Total Citations

9

H-Index

1

About

Jamshed Iqbal is a researcher whose work centers on robotics, autonomous systems, and intelligent navigation algorithms. His most recognized contribution is the development of the Intelligent Bug Algorithm (IBA), introduced in 2013, which marked a significant advancement in autonomous mobile robot navigation. The IBA addresses one of the fundamental challenges in robotics — obstacle avoidance — by providing a goal-oriented strategy that demonstrably outperforms existing Bug algorithms in terms of navigation efficiency and time-to-goal performance. This work reflects Iqbal's broader commitment to designing smarter, more adaptive robotic systems capable of operating independently in complex environments. With citations accumulating around his foundational work, Iqbal has contributed to a growing body of knowledge that bridges theoretical algorithm design with practical robotics applications. His research appeals to engineers and computer scientists alike, particularly those working on path planning, mobile robotics, and artificial intelligence-driven control systems. For students entering the field of autonomous robotics, Iqbal's work on the IBA serves as an accessible yet rigorous entry point into understanding how intelligent algorithms can be engineered to solve real-world navigation problems with greater precision and reliability than their predecessors.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Bug Algorithm (IBA): A Novel Strategy to Navigate Mobile\n Robots Autonomously
9 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago