Robots, like a machine, excel at doing jobs that are difficult, dangerous or dull. They can visit environments that are harmful to humans. They lift heavy objects, paint, handle chemicals, and perform assembly work. They perform the same job hour after hour, day after day with precision. What makes robots unique is their flexibility and programmability. They can be instructed to execute a variety of motions in an endless combination of sequences, thus making them for more versatile than a single-purpose machine. Autonomous robotic systems represent the next great step in the junction of mechanical systems, actuators, sensing, electronics and software to create intelligent systems capable of interacting with the complexities of the real world. Autonomous systems are the physical embodiment of machine intelligence.


Robots are built to replace human beings in performing tasks that humans cannot or prefer not to do. In recent years, the field of mobile robotics has matured quickly with more and more robots entering practical field service. The aim of the Centre is to research and explore the nature of intelligence in problems of perception learning and control, and thus to lay the scientific groundwork for the development and application of intelligent autonomous systems. The ALISR robotic team preoccupation is to provide solutions to problems of environment, safety and industrial automation faced in KSA. Indeed, this centre strives to foster, develop and promote technologies through innovation in the robotic field. The first objective of ALISR is to realize and develop an autonomous tele-operator system. The system is composed of a mobile robot, an arm, end effectors, a vision system and wireless communication system. The second objective of the Centre is to research and explore the nature of intelligence in autonomous systems:


  • Natural Environments: the demonstration of cooperative autonomous vehicles, equipped with multi-modal sensing capabilities, to build and maintain a composite picture of a complex and dynamic outdoor environment.
  • Built Environments: the demonstration of robust and long-term operation of robotic and intelligent building systems aiding and cooperate in human-oriented tasks in domestic, office and hospital environments.


The key milestones in the strategic plan are based around these two research demonstrators. The strategic plan is underpinned by a fundamental research program comprising four interacting themes;


  • Perception, sensing, representations of information, the modeling and management of uncertainty, data fusion and perceptual interpretation.
  • Control, of machines, of heterogeneous groups of platforms and sensors, and of contact and interaction with the environment and each other.
  • Learning, supervised and unsupervised learning in unstructured and dynamic environments, multi-agent learning, pattern recognition and concept formation.
  • Systems, design and optimization of systems, modeling and management of complexity, and modeling of information flow.


The key outcome of the fundamental research program will be a deeper mathematical, algorithmic and practical understanding of perception, control and learning in complex intelligent systems. The research activities of the robotic team are concentrated on:

  • Design and Build of Robotics Devices.
  • Micro-controller Application.
  • Robot motion control.
  • Robot localization, path planning and obstacle avoidance.
  • Human machine communication.
  • Robotic Vision.
  • Wireless communication system.


There are no articles in this category. If subcategories display on this page, they may contain articles.

Please publish modules in offcanvas position.