Artificial Intelligence Robotics and Control Systems Group (AIRoCS)
Mohamed bin Zayed University of Artificial Intelligence
Principal Investigator
Abdalla’s research lies at the intersection of artificial intelligence and robotics, focusing on AI-driven safe learning for control, compositional analysis of large-scale systems, and symbolic control / control barrier functions for stability and safety in complex networks.
Email: Abdalla.Swikir@mbzuai.ac.ae ·
Research Engineers
Ashok Kumar Saini is a Research Engineer I at MBZUAI’s AIRoCS Group (B.Tech MNIT Jaipur; ex-Research Associate, MBZUAI; ex-Project Associate, IIT Kanpur; ex-GET, Orangewood). He builds safe, learning-based robotic manipulation with geometric control and formal guarantees (ROS2/MoveIt/MuJoCo, CV, IL/RL, CLF/CBF).
Email: ashok.kumar@mbzuai.ac.ae ·
PhD Students
Swapnil is a Robotics PhD student at MBZUAI (MSc Robotics, Bristol; ex-Founding Engineer, listt.io). He builds AI-driven agri-robots (ROS/ROS2, CV, deep learning, hardware), holds five patents, and won IEEE Pune Section Innovator of the Year.
Email: Swapnil.Mane@mbzuai.ac.ae ·
Grik is a Robotics PhD student at MBZUAI focused on decentralized, safe multi-agent RL for UAV swarms. Ex-Skoltech, he built swarm landing/navigation and drone-racing perception, and evaluated AnyLoc/VPR.
Email: Grik.Tadevosyan@mbzuai.ac.ae ·
Saood is a Robotics PhD student at MBZUAI (Gold Medalist, Master’s in Robotics & Automation, AMU, Aligarh). He works on autonomous systems, SLAM, and biomimetic/soft robotics (fish-inspired AUVs) using ROS, computer vision, path planning, and dynamic modeling.
Email: Saood.Ahmad@mbzuai.ac.ae ·
Masters Students
Malak Mansour is a second-year Master’s student in Robotics researching Vision-Language-Action models to improve robot robustness and generalization. She aims to pursue a PhD to advance intelligent robotic systems with real-world impact
Email: Malak.Mansour@mbzuai.ac.ae ·
Rawda is a Robotics Master’s student at MBZUAI with a BSc in Electrical Engineering. She works on computer vision, safe learning, and multi-robot systems to make autonomous robots more reliable.
Email: Rawda.Alsamahi@mbzuai.ac.ae ·
Mohammed is a Robotics Master’s student at MBZUAI studying intelligent robotic systems that combine control, perception, and learning. He’s focused on RL for control, multi-robot coordination, and safe aerial-ground cooperation.
Email: Mohammed.Kharroub@mbzuai.ac.ae ·
Visiting Scholars
Alumni
Research on AI-based learning and control algorithms for robotic systems; contributions across robust control and autonomy.
Email: yancheng.zhu@mbzuai.ac.ae ·
Developed the Python simulation framework for ABC-DS, enabling hypothesis-driven ablations, baseline DS comparisons, and quantitative studies of Lyapunov stability, barrier feasibility, and demo-tracking error across complex (non-star-shaped) obstacle geometries.
Email: yutong.wang@mbzuai.ac.ae
Integrated ABC-DS on a Franka arm and ran systematic trials—demonstration tracking, obstacle compliance, and impedance-control execution—delivering the experimental evidence.
Developed and validated ABC-DS—Lyapunov-stable, barrier-certified polynomial DS learning for safe robot motion around obstacles—focusing on the single-step sum-of-squares formulation.
Email: Mauro.Soto@mbzuai.ac.ae
Built the demo dataset and evaluation suite, extended ABC-DS to non-star-shaped obstacles (including holes), and analyzed the method’s stability/safety guarantees.
Email: Mustafa.Juboori@mbzuai.ac.ae