Robot Operating System (ROS)

Development of an Industry 4.0 demonstrator using Sequence Planner and ROS2.- ROS2 for ROS1 users.- Multi-Robot SLAM framework for ROS with Efficient Information Sharing.- Agile experimentation of robot swarms in large scale.- Lessons learned building a self-driving car on top of ROS.- Landing a UAV on a moving platform using a front facing camera.- Integrating the Functional Mock-up Interface with ROS and Gazebo.- An ARVA sensor simulator.- ROS Implementation for Untethered Microrobot Manipulation.- ClegS: A package to develop C-legged robots.- Video frames selection method for 3D Reconstruction depending on ROS-based monocular SLAM.- ROS Rescue: Fault Tolerance System for ROS.

Anis Koubaa is a Professor of Computer Science, Aide to the Rector of Research Governance, Director of the Research and Initiatives Center, and Leader of the Robotics and Internet of Things Research Lab, at Prince Sultan University. He is also an R&D Consultant at Gaitech Robotics in China and Senior Researcher in CISTER/INESC TEC and ISEP-IPP, Porto, Portugal. He has been the Chair of the ACM Chapter in Saudi Arabia since 2014. He is also a Senior Fellow of the Higher Education Academy (HEA) in the UK.

His current research deals with providing solutions for the integration of robots and drones into the Internet of Things (IoT) and clouds for deep learning applications. He has developed several real-world applications and prototypes such as Dronemap Planner, a cloud-based management system for drones and robots, and ROSLink, which is a messaging protocol for integrating the Robot Operating System with the IoT. His research interests also include the Robot Operating System (ROS), robotic software engineering, wireless communication for the IoT, real-time communication, safety and security for cloud robotics, intelligent algorithm design for mobile robots, and multi-robot task allocation.