AGENTIC VLA FOR INTELLIGENT DRONE CONTROL:
FROM HUMAN INSTRUCTIONS TO AUTONOMOUS FLIGHT
FROM HUMAN INSTRUCTIONS TO AUTONOMOUS FLIGHT
How can a drone understand a human instruction and turn it into a flight?
Join us at Université MUST for a Distinguished Talk exploring the emerging world of Vision-Language-Action (VLA) models, intelligent drones, and autonomous robotics.
Through accessible examples and real-world research perspectives, this session will explore how AI can connect human language, visual perception, and physical action to enable increasingly autonomous robotic systems.
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Speaker: Prof.ANIS KOUBAA
Date : Thursday, 1 October 2026
Heure: 12:30 – 2:30 PM
Venue:
On Campus: MUST Campus, Lac 3, Tunis
Online: Microsoft Teams LINK
Meeting ID: 348 469 568 105 029
Passcode: yv6MH95K
Admission: Free, upon registration
The talk is designed for students, researchers, engineers, technology enthusiasts, and anyone interested in Artificial Intelligence, robotics, autonomous systems, drones, and the future of human-machine interaction.
How can a drone understand a human instruction and turn it into a flight?
This talk offers an accessible introduction to the intelligent models making this possible. Using simple examples, it explains how drones learn from flight demonstrations, connect camera observations with human commands, and decide how to move. The audience will discover how flight data is collected, how open-source models are adapted for drone control, and how their performance is tested in simulation. The talk also discusses current challenges, limitations, and research opportunities for students and researchers interested in autonomous drones, robotics, and next-generation artificial intelligence at MUST University.
Prof. Anis Koubaa
Prof. Anis Koubaa is a Full Professor of Computer Science and Software Engineering at Alfaisal University,
Director of AlfaisalX: Center of Cognitive Robotics and Autonomous Agents, and a founding member of MUST University.
His research spans agentic AI, robotics, autonomous drones, Vision-Language-Action models, computer vision, and the Internet of Things.
Over two decades, he has led international research projects connecting artificial intelligence with real-world applications.
He is a Senior Fellow of the Higher Education Academy, editor of more than 20 Springer publications, recipient of the 2024 Shoman Award, and recognized among Stanford University’s career-based top 2% scientists worldwide .
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