Why robotics ?
Robotics technology influences every aspect of work and home. Robotics has the potential to positively transform lives and work practices, raise efficiency and safety levels and provide enhanced levels of service. Even more, robotics is set to become the driving technology underpinning a whole new generation of autonomous devices and cognitive artifacts that, through their learning capabilities, interact seamlessly with the world around them, and hence, provide the missing link between the digital and physical world. Robotics is already the key driver of competitiveness and flexibility in large-scale manufacturing industries. Without robotics, many successful manufacturing industries would not be able to compete from their current bases of operation.
In these industries robotics already underpins employment. Increasingly robotics is becoming more relevant for smaller manufacturing industries which are central to manufacturing and employment capacity.
By the same token, service robotics will show far more disruptive effects on the competitiveness of non-manufacturing industries such as agriculture, transport, healthcare, security, and utilities. The growth in these areas over the coming decade will be much more dramatic. From what is currently a relatively low base, service robots used in non-manufacturing areas are expected to become the largest area of global robot sales.

The purpose of this course is to introduce you to the basics of modeling, design, planning, and control of robot systems. In essence, the material treated in this course is a brief survey of relevant results from geometry, kinematics, statics, dynamics, and control. The course is presented in a standard format of lectures, readings, and problem
sets. There will be a final examination. These examinations will be open book. Lectures will be based mainly, but not exclusively, on the material in the Lecture
Notes book. Lectures will follow roughly the same sequence as the material presented in the book, so it can be read in anticipation of the lectures after you finish every course and complete your project, you’ll earn a Certificate that you can share with prospective employers and your professional network.

Our main focus is on the subjects below:
o Cognitive science
o Cognitive robotics
o CPS (robotics)
o Robotics learning and evolution

Event executive team

Arwin Bahrami, Yasamin Nami, Ghazale Ghasemzade, Aida Ahmadi,
Mohammad Reza Ghezellou, Amir Arshia Ahmadi, Mahsa Beglari,
Shakila Kazempoor, Ahmad Salehi, Amir Hossein Hasani,
Morteza Salimy Moghasam, Mehrdad Torkchin, Pooria Rezvani,
Amir Reza Azadnic, Kimia Baseri, Shadan Mojahednia
Artificial Intelligence Course
What is the purpose of computerized intelligence? In this course, students explore answers to this question by examining how artificial intelligence (AI) is used and how its use can be beneficial. Students learn how to program robots for decision-making, reasoning, learning, and planning. Students examine how probability and AI are similar and how AI can evolve to develop learning machines. This course is offered early in a robotics program.

Machine Learning Course
The focus of this course is to look at the advancement and purpose of artificial intelligence. Students examine current research and look at such topics as a problem- solving and learning. Students look at artificial intelligence as a research tool. An introductory course on artificial intelligence is commonly taken as a prerequisite to this course.

Motion Planning Course
Using Kalman filtering and Bayesian estimation, students practice motion planning for robots. Students experiment with algorithms and sensors to program robots. Students also focus on the use of controllers and roadmaps.
This course can be taken anytime during a robotics program. Computer Vision Course Through this course, students learn how to look at an image as a binary language. Research of 2-D and 3-D image analysis, physics-based vision, stereo, pattern recognition, and digital geometry are covered through labs and reading materials .