Now showing items 21-24 of 24

    • Navigation Of Mobile Robot Using Global Positioning System (GPS) And Obstacle Avoidance System With Commanded Loop Daisy Chaining Application Method 

      Mohamad Hanif, Abd Hamid; Abdul Hamid, Adom; Norasmadi, Abdul Rahim; Mohd Hafiz, Fazalul Rahiman (Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)
      Mobile robot has been a major role to the application in military, industrial and agricultural purposes. Mobile robot should navigate through desire route and avoid the obstacle within the path. Many researcher come with ...
    • Neuro-Fuzzy based motor imagery classification for a four class brain machine interface 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abdul Hamid, Adom; Ramachandran, Nagarajan (Universiti Malaysia Perlis, 2009-10-11)
      Brain Machine Interface (BMI) provides a digital link between the brain and a device such as a computer, robot or wheelchair. This paper presents a BMI design using Neuro-Fuzzy classifiers for controlling a wheelchair using ...
    • Single trial motor imagery classification for a four state brain machine interface 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abdul Hamid, Adom; Ramachandran, Nagarajan (Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)
      Motor imagery is the mental simulation of a motor act which can be used to design brain machine interfaces [BMI]. A BMI is a digital communication system, which connects the human brain directly to an external device ...
    • Supervisory fuzzy learning control for underwater target tracking 

      Kia, C.; Arshad, M.R.; Abdul Hamid, Adom; Wilson, P.A. (School of Mechatronics Engineering, 2005-07-30)
      This paper presents recent work on the improvement of the robotics vision based control strategy for underwater pipeline tracking system. The study focuses on developing image processing algorithms and a fuzzy inference ...