Aiman Javed
Papers
1
Total Citations
7
H-Index
1
About
Aiman Javed is a researcher specializing in autonomous robotics and multi-agent systems, with a particular focus on formation control and obstacle avoidance for vehicular robots. Their most-cited work, "Autonomous Leader–Follower Formation of Vehicular Robots Using the Lyapunov Method" (2022, 7 citations), introduces a novel acceleration-based control strategy that enables a leader–follower pair of rovers to maintain formation while navigating complex, multi-obstacle environments. By integrating the Lyapunov method with artificial potential field (APF) functions, Javed’s approach ensures stable and adaptive movement, allowing the follower robot to dynamically adjust its trajectory in response to obstacles without breaking formation. This contribution addresses a critical challenge in cooperative robotics—balancing formation integrity with reactive navigation—and has implications for applications like search-and-rescue, warehouse automation, and autonomous convoy systems. Though early in their career, Javed’s work demonstrates a strong foundation in nonlinear control theory and practical robotics, offering a scalable framework for multi-robot coordination. Their research is particularly valuable for students and engineers seeking robust, mathematically grounded solutions to real-world autonomous navigation problems.
Research Focus
Key Achievements
Top Papers
- 1