Papers
7
Total Citations
81
H-Index
5
About
Faruk Kazi is a leading researcher at the intersection of robotics, control systems, and artificial intelligence, with a particular focus on multi-agent coordination and autonomous navigation. His most impactful work, "Vitality of Robotics in Healthcare Industry: An Internet of Things (IoT) Perspective" (35 citations), establishes him as a pioneer in applying IoT-enabled robotics to medical environments. Kazi’s contributions to SWARM robotics are equally significant; his 2015 paper on multi-robot communication and target tracking (18 citations) demonstrates novel approaches to decentralized coordination inspired by social insect behavior, using Arduino-based platforms for real-world validation. In competitive robotics, he developed autonomous humanoid control systems integrating fuzzy logic and heuristic search (10 citations), validated through soccer gameplay—a benchmark for dynamic, adversarial environments. Kazi has also advanced UAV control with bounded-thrust trajectory tracking using Model Predictive Control (6 citations) and pioneered deep learning-based teleoperation systems combining HMD vision for UGV and UAV teams in hostile settings (6 citations). His recent work on SLAM implementations (3 citations) and real-time localization for Ackermann steering robots (3 citations) continues to push boundaries in autonomous navigation. With a career spanning foundational theory to practical deployment, Kazi’s research has garnered over 80 citations, reflecting his lasting impact on intelligent robotic systems for healthcare, defense, and autonomous mobility.
Research Focus
Key Achievements
Top Papers
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- 6Implementation and Evaluation of SLAM Systems for a Mobile Robot3 citations · 2021
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