Faculty of Engineering - Ain Shams University, Home

Home  >  Faculty of Engineering - Ain Shams University, Home

Perception and Learning for Robotics

What Will Learn?

  • Course Aims
    The aim of this course is the following: • Comprehend the fundamental concepts of robotics study including frames, rotation and homogeneous transformation matrices and their importance. • Introduce the concepts of kinematics (position, velocity and acceleration) as well as dynamics and control of robotic manipulators. • Familiarize the student with the concepts of trajectory planning using both trajectory and joint space planning concepts.
  • Course Goals
  • Quality Education
  • Industry, Innovation and Infrastructure

Requirements

MCT343

Description

  • English Description

    Perception and Decision-Making in Robotics Overview, Understanding of basic machine learning concepts, stochastic gradient descent for neural networks, reinforcement learning basics and fundamentals, Bayesian Filtering, deep Reinforcement learning, computer vision, Sensors and Sensor fusion, Kalman filters, localization, Pose Estimation, Learning based approaches to Depth and Motion Estimation. Using ROS to apply this course contents on Robotics
  • Arabic Description

    Perception and Decision-Making in Robotics Overview, Understanding of basic machine learning concepts, stochastic gradient descent for neural networks, reinforcement learning basics and fundamentals, Bayesian Filtering, deep Reinforcement learning, computer vision, Sensors and Sensor fusion, Kalman filters, localization, Pose Estimation, Learning based approaches to Depth and Motion Estimation. Using ROS to apply this course contents on Robotics
  • Department
    Mechatronics Engineering
  • Credit Hours
    3
  • Grades
    Total ( 100 ) = Midterm (25) + tr.Major Assessment (30 = tr.Industry 4% , tr.Project 12% , tr.Self_learning 4% , tr.Seminar 15% ) + tr.Minor Assessment (5) + Exam Grade (40)
  • Hours
    Lecture Hours: 2, Tutorial Hours: 2, Lab Hours: 1
  • Required SWL
    125
  • Equivalent ECTS
    5
  • - Niku, Saeed B. Introduction to robotics: analysis, control, applications. John Wiley & Sons, 2020.
  • - Spong, Mark W., Seth Hutchinson, and Mathukumalli Vidyasagar. "Robot modeling and control." Industrial Robot: An International Journal (2006).
  • - Siciliano, Bruno, et al. "Modelling, planning and control." Advanced Textbooks in Control and Signal Processing. Springer, (2009).