Minor in Robotics & Artificial Intelligence | R & AI

From an entity with limited functional and programmable capacity design to move materials, a robot is now enhanced to perform a variety of tasks. Further strengthened with artificial intelligence, a robot is intelligent to perceive data from surrounding and to convert this data into insightful information.  An introduction of AI techniques in robots has enhanced the paradigm of robotics from automation to robot with capability to exert autonomy.  Artificially intelligent robots have evolved sensing, acting, planning, and learning capabilities. The application of Robotics and AI domain ranges from robot in humanoid form to AI enabled robotic assistance in medical and critical infrastructure domains.

With the aim to introduce such emerging field, KJSCE offers minor program on Robotics and AI. The scope of the program is to begin with fundamentals of robot and extend capacity building to build practical task performing robot. With this requisite knowledge to make functional robot, the program introduces courses on Artificial intelligence. The fundamental course on AI offers concepts including basics of AI to coverage of essential machine learning algorithms for classification and clustering data collected by robots. The course on advanced concepts of AI includes topics such as Convolutional Neural network (CNN) and Recurrent Neural network (RNN). These advanced techniques aim to solve the nonlinear problem of Robotics. The experience of attaining this minor program will be further elevated through project based learning.

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Key Information

Objectives

The offered program aims to-

  • Offer knowledge of mathematics and engineering to derive and solve robot kinematics, dynamics, and machine vision.
  • Offer knowledge on extracting significant patterns with the help of machine learning to classify, to cluster data perceived in form of Robotic operation/environment.
  • Comprehending nonlinear models of Deep learning for applications of robotics, typically applications with nonlinearities.
  • Provide application of concepts of Convolution Neural Network Model for enhancing Visual Intelligence of Robot.
  • Design and develop a robot for a given real-life application using AI/ML techniques.

Learning Outcomes

At the successful completion of this minor program a Engineering Graduates will be able to

  • LO1.Realize applications of contemporary Artificial Intelligence (AI) techniques for autonomous robots.
  • LO2.Develop AI enabled Robotic Systems for real-life applications.
  • LO3.Pursue career and research opportunities in the emerging field of AI-assisted robotics.

Assessment Method

Tests, Mini projects, Laboratory ,Presentation/ Video making ,Quiz, study of research papers etc.

Proposed List of Courses

  • Fundamentals of Robotics
  • Robotics Laboratory
  • AI for Robotics
  • Deep Learning for Robotics
  • Project Eligibility Criteria

Students who have passed First Year of Engineering in Computer Engineering / Electronics Engineering/ Electronics and Telecommunication Engineering .