Advanced Robotics (Postgraduate)

Course Description


  1. Kinematic and dynamic analysis of robotic manipulators based on Screw Theory, Lie Algebra, Quaternions. Compuational complexity of those methods and use for graphics in PC.
  2. Path planning on autonomous robots. Use of genetic algorithms. Dexterity and manipulability of redundant robots. (Pseudoinverse, Singular Value Decomposition)
  3. Applications of computational intelligence in robotics (Neural Networks, Fuzzy Logic).
  4. Adaptive and Sliding Mode Control. Applications in assembly.
  5. Mechatronic design of robots on limb prosthetics.
  6. Future applications in robotics.


Orginization Pack