robotics

Model Predictive Control and Imitation Learning Algorithms for Robot Motion Planning in Physical Human-Robot Interaction

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B9 R2325

This seminar presents a framework for safe and efficient human-robot workspace sharing by using Deep Neural Networks (DNN) and safety filters to rapidly imitate computationally heavy Nonlinear Model Predictive Control method (NMPC), with successful experimental validation on a UR5 manipulator.

KAUST’s new Robotics Bay advances the Kingdom’s robotics and AI capabilities

1 min read ·
KAUST launches the Robotics Bay — a 1,000 m² facility advancing Saudi Arabia’s robotics and AI innovation under Vision 2030.

Advancing robotics for a safer, smarter future

4 min read ·
From smart manufacturing to marine monitoring, KAUST Assistant Professor Shinkyu Park is powering Saudi Arabia’s robotics and automation ambitions

Aigerim Nurbayeva

Postdoctoral Research Fellow, Electrical and Computer Engineering

KAUST Robotics Bay Inauguration

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B5 L2 R2800

Join us for the Robotics Bay inauguration at KAUST.

KAUST developing robotic system to improve date palm harvesting

1 min read ·
Combination of AI and robotics positions Saudi Arabia to transform date farming.

The KAUST Research Conference on Robotics and Autonomy 2022

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B19 H1

KAUST Robotics, Intelligent Systems and Control Lab (RISC Lab) will host the KAUST Research Conference on Robotics and Autonomy 2022 (#RobotoKAUST) from February 28 until March 2, 2022. The conference will address the most recent trends of robotics application in a range of disciplines. To attend RobotoKAUST Gala, please, read more about the event and follow the event registration instructions.

The KAUST Research Conference on Robotics and Autonomy 2022 #RobotoKAUST

1 min read ·
Building upon our successful online conference in spring 2021, the KAUST Robotics, Intelligent Systems, and Control Lab (RISC Lab) will host the KAUST Research Conference on Robotics and Autonomy 2022 (#RobotoKAUST2022) from February 28 until March 2, 2022. The conference will address the most recent trends of robotics application in a range of disciplines.

Professor Park receives O. Hugo Schuck Best Paper Award at the 2022 American Control Conference

1 min read ·
Professor Shinkyu Park has been awarded the 2022 O. Hugo Schuck Best Paper Award (Theory) from the American Automatic Control Council (AACC) for his paper investigating a new mathematical framework to study decision making in multi-agent systems.

Shinkyu Park

Professor Park advances robotic science by building on individual robots’ core sensing, actuation and communication capabilities in distributed information processing, decision-making and manipulation.

Nojood Almayouf

Nojood Almayouf is a Graduate Research Assistant in the Distributed Systems and Autonomy (DSA) Lab within the Robotics, Intelligent Systems and Control (RISC) Research Initiative. Education M.S. in Electrical Engineering, KAUST, Saudi Arabia (Aug 2017 - Dec 2019). Visiting graduate student, Stanford University, United States (Jun 2017 - Aug 2017). B.S. (with first honor) in Electrical and Computer Engineering, Effat University, Saudi Arabia (Jan 2013 - Jun 2017). Professional Profile Graduate Teaching Assistant for ECE 271A/ME 221A: Linear Control Systems Course, KAUST (Aug 2022 - Dec 2022)

Norah Alghamdi

Education 2021.07 - Present Ph.D. Student in Electrical and Computer Engineering, KAUST, KSA 2018.08 - 2021.06 M.S. in Electrical and Computer Engineering, KAUST, KSA 2013.08 - 2018.07 B.S. in Electrical and Computer Engineering, King Abdulaziz University, KSA Selected Publications N.K. Alghamdi, D.A. Shamma, J.S. Shamma, "Analyzing the Passivity of the Human Decision Making Rule in a Congestion Game Experiment" 2022 IEEE American Control Conference (ACC), 4826-4831, (2022). Areas of Expertise and Research Interests ​Game Theory Multi-robot Systems Robotics Human-robot Interaction

Jun Chen

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dr. Jun Chen received his Ph.D. degree in mechanical engineering from Temple University, USA in 2021, and his M.S. degree in electrical and computer engineering from Stevens Institute of Technology, USA in 2017. Before that, he received his B.S. degree from Hefei University of Technology, China in 2015. His research interests lie in robotics, distributed multi-robot systems, robot learning, etc.

Aslihan Kartci

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education and Early Career Dr. Aslihan Kartci received her Ph.D. degree in Electronics from the Brno University of Technology, the Czech Republic in 2019 and M.S. degree from Yildiz Technical University, Turkey, in 2015. She was with the Research and Development Center of Komax Wire, Turkey from 2012 to 2014, engaged in software development of production planning systems, server management, project management for functional test machines. She was awarded with “Travel Grant” from IEEE flagship conference on Circuits and Systems, namely ISCAS 2015. She was „Congress Publicity Chair” of the

Anton Kim

I am working on object manipulation pipeline for robotic assembly which can be used for manufacturing and assembly lines.