autonomous systems

Safety Embedded Autonomy: From Barrier States to Intelligent and Differentiable Control

Hassan A. Almubarak, Assistant Professor, Department of Control and Instrumentation Engineering, King Fahd University of Petroleum and Minerals (KFUPM)

Oct 25, 12:00 - 13:00

B9 R2325

autonomous systems Advanced control systems engineering safe autonomy reliability barrier states adaptive control control systems engineering

This talk presents a safety-embedded approach to autonomy that builds safety directly into the control dynamics through Barrier States, then extends it with adaptive and differentiable control so that autonomous systems can stay safe, adapt to changing dynamics, and improve through physical interaction.

Ansar Khangeldin

M.S. Student

Computer Vision Reinforcement Learning Multi-agent systems autonomous systems

Ms/PhD Electrical and Computer Engineering student. Have a background in Applied Mathematics, Control Theory, Machine Learning Research and Development, Multi-Agent Reinforcement Learning. Main research interests are application and enhancement of CV methods in autonomous systems (AVs, Robotics, UAVs).

KAUST Robotics Bay Inauguration

Oct 13, 14:00 - 15:30

B5 L2 R2800

robotics autonomous systems Mechatronics Multi-agent systems

Join us for the Robotics Bay inauguration at KAUST.

Kuat Telegenov

Research Specialist (former), Electrical and Computer Engineering

autonomous systems robotics drones UAV machine learning

An experienced Robotics Research Engineer and Laboratory Manager.