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Robotics

The Interdisciplinary Dual Degree programme in Robotics is proposed to nurture and develop the next-generation professionals in the area of robotics who can contribute in the design, development, and implementation of robotic systems in the industry and help the industry to improve their productivity, leading to the overall economic growth of the country. IIT Madras has faculty working in the area of robotics spread across various departments. Since no single department has the critical mass to offer a dual degree program in Robotics, an interdisciplinary dual degree program is proposed. The dual degree program in Robotics will be having its focus on Design, Analysis, and Application development (new system development) and the curriculum has been developed with this focus.

Indian Institute of Technology Madras

Students graduating with a dual degree in Robotics shall be capable of understanding and analyzing the following:

  • Basic robotic technologies used across various applications

  • Kinematics, dynamics, and control of Industrial and field/service robots

  • Sensing, perception, planning, and control applied to autonomous robots

  • Application of Artificial Intelligence, Neural Networks and Reinforcement learning in Robotics

  • Hardware systems and controllers used in robotics

  • Design of robotic systems for new applications

Program Offers

The ID-DD programme is offered by faculty from the departments of Aerospace Engineering, Applied Mechanics, Civil Engineering, Computer Science and Engineering, Electrical Engineering, Engineering Design, Mechanical Engineering and Ocean Engineering. The true interdisciplinary nature of Robotics is reflected in the joint programme collectively offered by faculty from various Depts.

Enrollment

A B. Tech student or a Dual Degree student of IIT Madras in any discipline (except biosciences) is eligible to upgrade/opt for this programme provided the student has a CGPA of 8.0 or above up to 5th semester. Total number of seats will be fixed at 25 and allocation of dual degree specialization and award of the degree will be governed by the rules of the Institute.

Curriculum

ID-DD-Robotics has a very flexible curriculum. The programme spans a period of five semesters of the five-year dual degree programme. There will be a bridge course covering the basics of electrical, mechanical, and computer science fundamentals applicable to robotics. This course will ensure that the students who enters into this specialisation from different streams have the basic understanding of robotics. The curriculum also allows short term (1-3 months)/ long term (up to 6 months) internships with potential companies / research organizations.

In tune with the overall structure of the dual degree program being offered in the Institute, the number of courses to be offered and the credit distribution are as follows:

Total Credits required

150 to 160

No. of PMT CORE courses to be offered

3 (33 credits)

No. of electives to be offered

4 ( 36±2 credits)

No. of labs. to be offered

1 ( 6 credits)

Project work/internship

1 (85 credits)

Interdisciplinary DD in Robotics -course curriculum

 

Sl.No

Course No

Course Name

L

T

E

P

O

C

 

Semester 6

 

 

 

 

 

 

 

1

ID6040

Core 1: Introduction to Robotics

4

0

0

0

8

12

 

 

Total credits

 

 

 

 

 

12

 

Semester 7

 

 

 

 

 

 

 

1

ED6007

Core 2: Mechanics and Control of Serial Manipulators

4

0

0

0

8

12

 

 

Electives

 

 

 

 

 

 

 

 

Total Credits :

 

 

 

 

 

12

 

Semester 8

 

 

 

 

 

 

 

1

ID5690

Internship/Summer Project (Project I)

 

 

 

 

 

20

 

 

Electives

 

 

 

 

 

 

 

Semester 9

 

 

 

 

 

 

 

1

ED5315

Core 3: Field and Service Robotics

3

0

0

0

6

9

2

ID6100

Core Lab1: Robotics Laboratory

0

0

0

3

3

6

 

ID5691

Project II

 

 

 

 

 

25

 

 

Total Credits :

 

 

 

 

 

15

 

Semester 10

 

 

 

 

 

 

 

1

ID 5692

Project III

 

 

 

 

 

40

 

 

Total Credits :

 

 

 

 

 

 

Project

85 credits to be completed in 8th, 9th and 10th semester

Electives

36±2 credits to be completed from the approved list in 7th, 8th, and 9th semester

Total credits for the DD programme

160

ELECTIVE COURSES

Electives will be offered in three baskets. Students need to choose the electives from at least two baskets (no student will be allowed to choose all the electives from one basket). Faculty/Dept. consent has been received for all the electives.

Sl.No

Course No

Course Name

L

T

E

P

O

C

 

 

 Basket 1

 

 

 

 

 

 

1

AS5012

Dynamics and control of rotorcraft 

3

0

0

0

6

9

2

AS5040

Flight Mechanics

4

0

0

0

8

12

3

AS 5010

Aerodynamics and Aircraft Performance 

3

0

0

0

6

9

4

AS5340

Advanced flight mechanics 

3

0

0

0

6

9

5

AM5010

Biomechanics 

3

0

0

0

6

9

6

AM5190

Haptics in Biomedical Engg 

3

0

0

0

6

9

7

AM5011

Virtual Reality Engg.

3

0

0

0

6

9

8

ED5314

Design, analysis and control of Robot Manipulators 

3

0

0

0

6

9

9

OE 5011

Marine Robotics 

3

0

0

0

6

9

10

ME7010

Microprocessor in automation 

3

0

0

0

6

9

11

CE6011

Smart buildings and automation

3

0

0

0

6

9

12

ED5040

Human Anatomy Physiology and Biomechanics 

4

0

0

0

8

12

13

ED5160

Automotive systems

4

0

0

0

88 

12

14

OE5310

Guidance & Control of Marine Vehicles

3

0

0

0

6

9

15

ME6221

Theory of Mechanisms

3

0

0

0

6

9

16

AS5570

Principles of Guidance for Autonomous Vehicles

3

0

0

0

6

9

17

AS5545

Dynamics and Control of Spacecraft

 

 

 

 

 

 

 

 

Basket 2

 

 

 

 

 

 

1

CS5011/ EE5177 

Machine Learning for Computer Vision

4

0

0

0

8

12

2

CS6380

Artificial intelligence

4

0

0

0

8

12

3

CS6700

Reinforcement learning

4

0

0

0

8

12

4

CS7015

Deep Learning

4

0

0

0

8

12

5

CS6350/ EE5175

Computer Vision/ Image Signal Processing

4

0

0

0

8

12

6

CS6777

Optimisation for computer vision applications

4

0

0

0

8

12

7

ID5030

Machine Learning for Engineering and Science Applications

3

1

0

0

6

10

8

CS5691

Pattern Recognition and Machine Learning

 

 

 

 

 

 

9

CS6910

Fundamentals of Deep Learning

 

 

 

 

 

 

 

 

Basket 3

 

 

 

 

 

 

1

EE5541

Synthesis of control systems

3

0

0

0

6

9

2

EE6417

Allied topics in control systems

3

0

0

0

6

9

3

EE6412

Optimal Control

4

0

0

0

8

12

4

EE5340

Micro-electro mechanical systems

3

0

0

0

6

9

5

EE5410

Introduction to DSP

4

0

0

0

8

12

6

EE5177/ CS5011

Machine Learning for Computer Vision

4

0

0

0

8

12

7

EE5175/ CS6350

Image Signal Processing

4

0

0

0

8

12

8

EE6415

Nonlinear Control Systems

3

0

0

0

6

9

9

ED5330

Control of Automotive Systems

 

 

 

 

 

 

 

Facilities

Collaborative Robots, Mobile Manipulators, Wheeled Mobile Robots, Haptic Systems, Industrial Robots, Modular Automation systems.

Coordinating Faculty

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Asokan T (ED)
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Krishna Vasudevan (EE)
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Ravindran B (CS)

Contact Faculty

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Asokan T (ED)
asok@iitm.ac.in