• Graduation Ceremony of the University of Sharjah's Students

    More
  • The First Introductory Seminar about Sharjah International Foundation for the History of Arab and Muslim Sciences

    More
  • Admission for the spring semester 2016/2017

    More
  • B.SC. IN PETROLEUM GEOSCIENCES AND REMOTE SENSING PROGRAM IN COLLEGE OF SCIENCES 2016-2017

    More
  • Math & Physics placement test for Engineering college

    More
  • Registration Instructions for Spring 2016/2017

    More
  • Sharjah Islamic Center International Award for Islamic Banking Products 2017

    More
  • The launch of the ideas and innovation Box

    More
  • Professional Diploma in Teaching

    More
  • 2nd Sharjah International Conference on Islamic Economy

    More
Autonomous Robotics and Active Vision Research Group
Robotics is generating significant interest among the leading Entrepreneurs and Governments. Across the globe, companies are constantly innovating and patenting designs to create the world's first fully autonomous machine with capabilities that will forever transform the way we do business and how we manufacture goods. It is therefore essential that the UAE, the most technologically forward country in the Middle East & North Africa region, uses the opportunities that advancements in robotics can present, to remain competitive and a front runner. Analysts predict that the early adoption of robotics technology in the UAE would significantly increase the GDP of the country and create a more knowledge-based economy thus propelling UAE as the premier destination for leading companies worldwide.
 
The vision for Autonomous Robotics and Active Vision (ARAV) Research Group is therefore that of empowering the society, and the basis of this empowerment is the research and development of next generation active vision algorithms coupled with realistic bio-mimetic kinematics paradigms and articulated physics-based mechanics for the implementation and integration of autonomous robots for the purpose of interacting naturally with people and with each other by adapting their behavior to the requirements of the task they are given within the dynamic environment they are situated in.