M. Tech in Robotics

Overview

Robotics is defined as the disciplines of mechanical, electrical, and other sciences related to the design, construction, operation, and application of robots. Robots are automated machines that can assist humans in a variety of environments, from manufacturing processes to working in critical conditions unsuitable for human life. Robotics specialists aim to solve a wide variety of tasks by designing mechanical devices that can intelligently complete a variety of tasks. The term robotics comes from the word robot used by Czech writer Karel ÄŒapek in his play R.U.R. (Rossum’s Universal Robots), published in 1920. The word robot comes from the Slavic word Robota, which means work/work. Robotics is related to other scientific fields such as computer science, character animation, mechanical design, cognitive science, and biomechanics. The main subdivisions of robotics are artificial human science, artificial intelligence, nanorobotics, robotic surgery.

Need for M. Tech. in Robotics

Robotics is widely used in industrial automation, agriculture, logistics, underwater, aerial, maintenance, inspection, manipulation and others to improve productivity, safety, security, and health. Industrial robots, 3D printing, drones, and advanced machinery are becoming quite common in various working environments. The industrial robotics market is projected to be $81.4 billion by 2028, double that of 2021. The M.Tech. program in Robotics at Mahindra University will fulfill the current and future requirement of Robotics Engineer.

About the Program

This interdisciplinary program is offered by Department of Mechanical & Aerospace Engineering in the Ecole Centrale School of Engineering, Mahindra University in collaboration with Electronics & Computer science departments. The 2-year degree program provides students with advanced engineering-related knowledge through courses in kinematics, dynamics, electronics, computer programming, mathematics and specialized electives. The students will gain additional knowledge in the areas of intelligent machines, health care and automation.

This program has a minimum of 60 credits spread over four semesters for full-time students. About two-thirds of the credits are for the course work, and the rest for Master’s thesis with focus on conducting original research. The program provides flexibility for students to specialize in their area of interest. Most of the courses have practical hours to get hands-on experience.

Robotics is widely used in industrial automation, agriculture, logistics, underwater, aerial, maintenance, inspection, manipulation and others to improve productivity, safety, security, and health. Industrial robots, 3D printing, Drones, and advanced machinery are becoming quite common in various working environments. The industrial robotics market is projected to be $81.4 billion by 2028, double that of 2021. The M.Tech. program in Robotics at Mahindra University will fulfill the current and future requirement of Robotics Engineer.

Expected Program Output

Characteristic attributes of the post-graduating students:

  • To be able to understand the basic and advanced engineering concepts with theoretical foundation in robotics.

  • To be able to understand and apply various concepts of mechanical design, electronics design and control.

  • To have the ability to apply engineering methods and tools to specify and develop mechanical components and systems in the context of robotics and automation.

  • To have the ability to apply the engineering methods and tools, and master the related skills in the process of developing robotic systems and products.

  • To have the ability to apply engineering methods to develop analog and digital electronic circuits with hardware and software in a robotics context.

Eligibility

B.E./B.Tech. in Mechanical engineering, Mechatronics, Electronics engineering

Fees
Expected Intake: 15 Nos
Expected Tuition Fee: 1.5 lacs/ annum
Stipend: Deserving students will be provided monthly stipend with free accommodation.

Admission Procedure

  • Route 1: Applicants, who are GATE qualified with a percentile above 90%, will undergo an interview for admission.

  • Route 2: Applicants, who are not GATE qualified or have a percentile less than 90%, will have a separate written examination followed by interview.

Career Roles

  • Robotics Engineer

  • Automation Engineer

  • Industrial Robots manager

  • Automation and logistics manager

  • Project manager

Tentative Courses

The courses proposed comprise broad categories of Robotics and Automation, electronics, programming, ROS – Robot operating systems, embedded systems and software hardware interfaces. Furthermore, trending electives will be offered wherein the students will be exposed to more specialized topics.

Proposed Course Curriculum Outline – Semester Wise

Semester I
S.No. Course Name Lecture Tutorial Practice Credits
1 Multi-body Dynamics 02 00 02 04
2 Embedded systems 03 00 02 04
3 Plant automation and Cyber physical systems 03 00 00 03
4 Mathematics for Robotics 03 00 00 03
5 Robot Control Theory 03 00 00 03
6 Robotics Lab-1 00 00 02 01
7 Robotics and hardware interfacing 03 00 02 01
Total Credits 19
Semester II
S.No. Course Name Lecture Tutorial Practice Credits
1 Advanced Robot modelling and analysis 03 00 02 04
2 AI for Robotics 03 00 00 03
3 Elective -1 03 00 00 03
4 Elective -2 03 00 00 03
5 Elective- 3 03 00 00 03
6 Introduction to Robot Operating System (RoS) 01 00 02 02
7 Robotics Lab -2 00 00 02 01
Total Credits 19
Semester III
S.No. Course Name Lecture Tutorial Practice Credits
1 Master thesis Phase-I 00 00 24 12
Total Credits 12
Semester IV
S.No. Course Name Lecture Tutorial Practice Credits
1 Master thesis Phase-II 00 00 24 12
Total Credits 12

Elective Courses (Tentative)

Mobile Robots
  • Introduction to Mobiles robots (MAE)
  • Aerial robotics/UAVs (MAE)
  • Bioinspired robots (MAE)
Medical Robots
  • Medical Robots (MAE)
  • Soft robotics (MAE)
  • Human-computer interaction (MAE)
Industrial Robots
  • AI in Industrial IoT (CSE)
  • Advanced grasping and actuation (MAE)
  • Machine vision and Image processing (CSE)
Autonomous
  • Machine Learning for Automobiles (ECE)
  • Digital Image Processing and Computer Vision for Self-Driving Cars (ECE)
  • State Estimation and Localization of self-driving cars (ECE)
  • Motion Planning for Self-Driving Cars (ECE)
  • Safety and Standards in Autonomous Electric Vehicles (ECE)
Laboratory Facilities
  • Robots: Industrial, Mobile, Legged robots, Drones
  • Haptics, Exo-Suit
  • Embedded systems and PLC
  • Pneumatic and Electro-pneumatic control systems
  • Measurement instrumentation lab
  • Robotics and hardware interface lab
  • Software: ABB Robot studio, ROS, OpenCV, Matlab, Simulink