MD Rifat Bin Emdad, International Journal of Computer Science and Mobile Computing, Vol.7 Issue.11, November- 2018, pg. 77-83 © 2018, IJCSMC All Rights Reserved 77 Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320–088X IMPACT FACTOR: 6.017 IJCSMC, Vol. 7, Issue. 11, November 2018, pg.77 – 83 Attitude Control of Robotic System According to Fuzzy Logic MD Rifat Bin Emdad Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh Rifat.engr@gmail.com; Rifat1366@yahoo.com Abstract— At Present world, the working intention, capability, and priority of a robot have been changed on demand. Robotics requires a working skill of electronics, mechanics, and software. When Software and machines come together there is must need of logic. Without logical conception, the robotic system couldn’t be work properly. When we think about the controlling system of robot then it’s a matter of complexity that which method or logic should establish. If errorless attitude needed then Fuzzy Logic is essential. It’s like an umbrella term for any robotic system that does something smart. This solution will help to solve the problem on decision making that why fuzzy logic is an essential technique for controlling the attitude of robotic system. Keywords— Robotics, Fuzzy Logic, Artificial Neural Network (ANN), Attitude Control, PID controller, Controlling system, Robotic Engineering, Sensing. I. INTRODUCTION Time changes and the demand of the robotic system increases a lot. There are mainly two types of robot, Industrial and Mobile Robots. The industrial robot is automatically controlled, reprogrammable, multipurpose manipulator programmable in three or more axes, which can be either fixed in place or mobile for use in industrial automation applications. Mobile robots usually move around in their environment they are not fixed to one physical location. These can be AMR (AMR - autonomous mobile robot) in this way they are capable of navigating the accurate things and control the uncontrolled devices without the need for physical or electro- mechanical guidance devices. All of this Robot dependent on the program and a set of machines. Both types of robot needed three essential characteristics these are sending or Receiving signal as input, Working Capability or Computational method and intelligent output or Result. To complete those characteristics there must have some logical rules that should be establish into the robot as programming infrastructure. If we want to establish the artificial neural network of a robot then Fuzzy Logic is the must. Fuzzy Logic simulates the human decision- making techniques and acts with hazy and imprecise information. It deals with ambiguous and imprecise information. This makes distortion of the real-world problems which is based on the amount of truth rather than