Robotics & AI
June 24 - 28, 2019
Course objectives: This course is designed to provide an exposure to the fundamentals of Robotics and Artificial Intelligence. Participants will learn kinematics and dynamics of industrial manipulators, kinematics of mobile robots, trajectory planning, path planning and control and how to embed intelligence in robotic tasks. Hands-on training and practice sessions will help participants gain confidence on robotic concepts, their simulation and implementation including sessions on intelligent agents. The course will be useful for faculty of engineering and sciences who are interested in the learning robotics and intelligent systems.
Course contents:
1. Introduction to Robotics and Robot Simulators
Robot Manipulators, Mobile Robots, Legged Robot, Aerial Robots, Applications. Components and mechanisms of a robotic system, sensors and actuators. Introduction to Manipulator, Coordinate System, classification, reachable and dexterous space, Forward and Inverse kinematics, DH Parameter Velocity Kinematics. Hands on: Robot Simulation Software, Tutorials on Coordinate systems and Robot Kinematics : Webots, RoboAnalyzer
2. Kinematics, Dynamics and Control
Mobile robots and their kinematics, Holonomic and Non-holonomic robots. Basics of trajectory planning, configuration space and dimension. Linear and nonlinear robot control: Feedback and motion control, Path Planning and Obstacle Avoidance in known and unknown environment. Intelligence path planning. Hands on: Practice on Webots for Trajectory Planning using different types of robots
3. Artificial Intelligence and Robotics
Introduction to Artificial Intelligence and Machine Learning. Artificial Neural Networks and Fuzzy logic. Vision based planning and control, Learning based motion planning, Hands on: Implementation of ANN and Fuzzy logic for motion planning and simulation, Implementing on hardware using Raspberry Pi boards.
4. More on AI and Machine Learning:
Reinforcement Learning: Introduction to Reinforcement Learning, Tabular Solution Methods – Multi-armed Bandits, Finite Markov Decision Processes, Dynamic Programming, Monte Carlo Methods, Temporal Difference Learning.
5. Applications, Research Directions and Case Studies:
Research directions, and case studies. Mobile robotics – multi-terrain robots, humanoid robots. Biped locomotion; Applications in Agriculture, and Social robotics. Brain Computer Interface (BCI) and gesture control Hands on– Simulation of robot tasks and motion planning, Industrial manipulators and motion planning and hardware implementation.
Resource Persons:
- Prof. S.K. Saha, IIT Delhi
- Prof. K.Kurien Issac, IIST Thiruvananthapuram
- Prof. Ashish Dutta, IIT Kanpur,
- Prof. Aparajita Ojha, PDPM IIITDM Jabalpur
- Prof. Vijay Kumar Gupta, PDPM IIITDM Jabalpur
- Prof. R.B.V. Subramanyam, NIT Warangal
- Dr. Prabin Kumar Padhy, PDPM IIITDM Jabalpur
Course Coordinators:
Prof. Vijay Kumar Gupta
Email: vkgupta@iiitdmj.ac.in
+91-761-2794413
+91-9425163037
Website: ict.iiitdmj.ac.in
Who can attend: Programme is open to faculty from all colleges and universities preferably from the states of Madhya Pradesh, Chhattisgarh, and Maharashtra. Faculty members from other states are also eligible.
Industry personnel working in the concerned/allied discipline may also apply. Limited seats are available for research scholars.
How to apply:
Online: The participants may log on to the website ict.iiitdmj.ac.in and fill up the application form selecting the name of the course. One may also send a scanned copy of your completed application form to academyiiitdmj@gmail.com.
Application format may be downloaded from the website (Also given in this brochure). Print out of the filled-in application form duly endorsed by the forwarding authority, and a demand draft of the applicable amount (as given below) in favour of ‘Electronics and ICT Academy, IIITDMJ’ payable at Jabalpur may be sent to the address given below. No Travelling Allowance will be paid by the Academy.
Important Dates:
Last Date of Online Registration: June 21, 2019
Spot Registration also available if seats are available.
Course Dates: June 24 – 28, 2019
Registration Fee and Accommodation:
Faculty and Research Scholars (PhD): Nil and free accommodation on sharing basis.
Others: Rs 3000 and extra nominal charges for accommodation and food.
Contact us
Prof. Vijay K. Gupta: +91-761-2794413
Prof. Aparajita Ojha: +91-761-2794221
Electronics and ICT Academy
PDPM IIITDM, Jabalpur,
Dumna Airport Road, Jabalpur 482005
Email: academyiiitdmj@gmail.com