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Ppt on robotic

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  • 1. Presentation on Robotics Control withwith Fuzzy Logics 1 BY : - ANIL MAURYA ELECTRICL & ELECTRONICS ENGINEER
  • 2. Fuzzy Logics Lotfi A. Zadeh, a professor of UC Berkeley in California, soon to be known as the founder of fuzzy logic. Fuzzy logic has rapidly become one of the most successful of today's technologies for developing sophisticated control systems.systems. Fuzzy logic is a superset of Boolean logic that has been extended to handle the concept of partial truth- truth values between "completely true" and "completely false". Fuzzy logic can be implemented in hardware, software or a combination of both. 2ANIL MAURYA ELECTRICL & ELECTRONICS ENGINEER
  • 3. Fuzzy Set and Membership Functions Crisp Membership Function Fuzzy Membership Function 3 Crisp Membership Function Trapezoidal Membership Function π- shaped membership functionsGaussian Membership Function ANIL MAURYA ELECTRICL & ELECTRONICS ENGINEER
  • 4. Fuzzy Logic Control 4 Input_1 Fuzzy IF-THEN Rules OutputInput_2 Input_3 ANIL MAURYA ELECTRICL & ELECTRONICS ENGINEER
  • 5. Robotics A robot is a machine that looks and acts like a human being. Robots are defined as man-made mechanical devices that can move by themselves, whose motion must be modeled, planned, sensed, actuated and controlled, and whose motion behaviorsensed, actuated and controlled, and whose motion behavior can be influenced by “programming”. Joseph F. Engelberger is known as the ‘Father of Robotics’ After the technology explosion during World War II, in 1956, George C. Devol, Norman Schafler and Joseph F. Engelberger made a serious and commercial effort to produce a robot and the name of the first robot is “Unimate”. 5ANIL MAURYA ELECTRICL & ELECTRONICS ENGINEER
  • 6. Types of Robots Mobile Robots Industrial Robots 6 Mobile Robots Industrial Robots Autonomous Robots Remote Control Robots Virtual Robots ANIL MAURYA ELECTRICL & ELECTRONICS ENGINEER
  • 7. Motion of Robot 7ANIL MAURYA ELECTRICL & ELECTRONICS ENGINEER
  • 8. Operation of Robot 8ANIL MAURYA ELECTRICL & ELECTRONICS ENGINEER
  • 9. Action Behavior Control 9ANIL MAURYA ELECTRICL & ELECTRONICS ENGINEER
  • 10. Obstacle Avoidance and Decelerating at Curved and Narrow Roads 10ANIL MAURYA ELECTRICL & ELECTRONICS ENGINEER
  • 11. Target Steer 11ANIL MAURYA ELECTRICL & ELECTRONICS ENGINEER
  • 12. Following Edge 12ANIL MAURYA ELECTRICL & ELECTRONICS ENGINEER
  • 13. Summery In this project, we use fuzzy logic to realize the reactive behaviors for robot navigation. The method can effectively coordinate conflicts and competitions among multiple reactive behaviors by weighting them and this coordination ability is nearly independent of aand this coordination ability is nearly independent of a dynamic environment due to it robustness. 13ANIL MAURYA ELECTRICL & ELECTRONICS ENGINEER
  • 14. THANK YOU 14 THANK YOU ANIL MAURYA ELECTRICL & ELECTRONICS ENGINEER