Saran Khaliq
Papers
2
Total Citations
17
H-Index
2
About
Saran Khaliq’s research lies at the intersection of multi-robot systems, swarm intelligence, and decentralized communication, with a strong focus on enabling robust, scalable autonomy for unmanned aerial and ground vehicles. In their most-cited work, “Multi-Platform Hardware In The Loop (HIL) Simulation for Decentralized Swarm Communication Using ROS and GAZEBO” (2021, 15 citations), Khaliq tackles the critical challenge of validating swarm algorithms in realistic, hardware-in-the-loop environments—a key step toward deploying collaborative UAV swarms for surveillance and tracking missions. This work has provided a foundational testbed for researchers developing decentralized communication protocols. More recently, in “A Multi-agent Approach to Improve Visual SLAM Performance using Miniature Robots” (2022), Khaliq proposed a novel multi-agent formation that leverages redundancy to overcome track loss and mechanical faults in visual SLAM systems, offering a low-cost, scalable solution for robust mapping. By bridging simulation and real-world deployment, Khaliq’s contributions are shaping the next generation of resilient, cooperative autonomous systems, making them a rising voice in the field of multi-agent robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2