The Robotics and Internet-of-Things research lab focuses on the integration of robots into the Internet of Things to promote new types of applications that leverage the use of these two technologies. RIOT has a long expertise in developing solutions for Internet-of-Things and Mobile Robots. The research lab also fosters its activites to be aligned with national priorities in particular the 2020 National Transformation Plan and 2030 Vision. In particular, with a strategic vision for the future, RIOT is working in emerging topics such as:

The Robotics and Internet of Things lab at Prince Sultan University offers Postdoc conducts research in six main areas:

  • Internet of Things: We work on a broad scope of IoT applications. One of our objectives is to develop solutions for large-scale IoT systems that guarantee the quality of service and also meeting IoT requirements, namely scalability, energy-efficiency, interoperability, etc. We consider concrete use cases related to smart cities (e.g smart parking, waste management, smart grid, etc). We have strong collaboration with big IoT companies in Saudi Arabia, namely Elm Company and MachinesTalk. We also would like to investigate the effectiveness of edge computing strategy is dealing with the scalability of the IoT and reducing the processing load and energy consumption in data centers. In addition, we leverage the use of service-oriented architecture to develop things as services in the cloud, such as a robot as a service, drone as a service, etc. We have already developed our own platform for the monitoring and control of robots and drones over the Internet. We are extending this platform to support multi-robot collaboration, in addition, to the integration of security and safety functions.
  • Unmanned Aerial Systems: We have been working extensively the last year into developing cloud based systems to control and monitor UAVs over the Internet. We are currently interested in developing intelligent algorithms for multi-drone collaboration using a centralized approach by leveraging connectivity to the cloud. In addition, we aim at investigating the security and safety aspects of UAVs. We have also interest into developing applications for UAVs using computer vision.
  • Deep Learning: We are interested in the application of Convolutional Neural Networks in computer vision application as a borad topic. In particular, we are actively working on object detection, and semantic segmentation of aerial images for surveillance purposes and IoT-driven applications. In addition, we work on generative adversarial networks (GANs) in the context of semantic segmentation. We are also interested in people behavior monitoring and scene analysis for security purposes. We are also open to hot emerging topics in deep learning.
  • Self-driving and smart vehicles We aim at developing solutions for future autonomous vehicles by considering two mains areas: (1) the use of deep learning and reinforcement learning approaches to develop algorithms for safe self-driving cars. We aim using ROS for the development of solutions. (2) leverage communication between vehicles (i.e. V2X communication) using the IoT infrastructure to promote smart transportation systems.
  • Cyber-Physical Systems (CPS): We are interested into the real-time guarantees and quality-of-service of communication protocols used in cyber-physical systems such as low-power personal area networks (LPWPAN) namely IEEE 802.15.4 and its variants, RPL, ZigBee, etc. We aim at developing CPS systems that are connected using wireless communication and provide reliable services for time-critical applications.
  • Robotics Control Systems: ...


The Robotics and Internet-of-Things provides consultation services to industry, academia and government institutions to develop real-world solutions around our research areas. We also provide training services on drones building, piloting and applications development, robots software development, Robot Operating System (ROS). For further information, contact us.