Course Name: Robotics

Course abstract

The course will start with a brief introduction to robots and robotics. The motivation behind keeping robots in modern industries will be discussed. After providing a brief history of robotics, different components of a robotic system will be identified. The method of determining degrees of freedom of a robotic system will be discussed with some examples. After classifying the robots based on certain criteria, workspace analysis of manipulators will be carried out. Applications of robots in different areas like in manufacturing units, medical science, space, and others, will be discussed. Various methods of robot teaching will be explained with some suitable examples. Economic analysis will be conducted to decide whether we should purchase a robot. Both forward and inverse kinematics problems will be solved with the help of some suitable examples. To ensure smooth variation of joint angles of the robot, trajectory planning schemes will be explained. After carrying out velocity analysis with the help of Jacobian matrix, inverse dynamics problems of robots will be solved using Lagrange-Euler formulation. Control scheme used in robots to realise the joint torques will be discussed. Besides manipulators, analysis will be carried out on wheeled and multi-legged robots. The working principles of various sensors used in robots will be explained in detail. The steps to be followed in robot vision will be discussed with some suitable examples. The principles of motion planning algorithms will be explained in detail. Thus, this course will deal with all the issues related to kinematics, dynamics, control schemes and robot intelligence.


Course Instructor

Media Object

Prof. DK Pratihar

I received BE (Hons.) and M. Tech. from REC (NIT) Durgapur, India, in 1988 and 1994, respectively. I obtained my Ph.D. from IIT Kanpur, India, in 2000. I received University Gold Medal, A.M. Das Memorial Medal, Institution of Engineers’ (I) Medal, and others. I completed my post-doctoral studies in Japan and then, in Germany under the Alexander von Humboldt Fellowship Programme. I received Shastri Fellowship (Indo-Canadian) in 2019, INSA Teachers’ Award 2020, New Code Of Education 2021 Award. I am working now as a Professor (HAG scale) of IIT Kharagpur,India. My research areas include robotics, soft computing and manufacturing science. I have published more than 300 papers and book-chapters. I have written the textbooks on Soft Computing and Fundamentals of Robotics, co-authored another textbook on Analytical Engineering Mechanics, edited a book on Intelligent and Autonomous Systems, co-authored reference books on Modeling and Analysis of Six-legged Robots; Modeling and Simulations of Robotic Systems Using Soft Computing; Modeling and Analysis of Laser Metal Forming Processes by Finite Element and Soft Computing Methods and Multibody Dynamic Modeling of Multi-legged Robots. My textbook on Soft Computing had been translated into Chinese language in 2009. I have guided 23 Ph.D.s. I am in editorial board of a few International Journals. I have been elected as FIE, MASME and SMIEEE. I have completed a few sponsored (funded by DST, DAE, MHRD) and consultancy projects. I have filed two patents.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jul-Sep 2021

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 Syllabus

 Enrollment : 20-May-2021 to 02-Aug-2021

 Exam registration : 17-Jun-2021 to 20-Aug-2021

 Exam Date : 26-Sep-2021

Enrolled

4979

Registered

758

Certificate Eligible

520

Certified Category Count

Gold

15

Silver

104

Elite

189

Successfully completed

212

Participation

169

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
    Note:We have taken best assignment score from both July 2020 and July 2021 course
Robotics - Toppers list
Top 1 % of Certified Candidates

SUBHAJIT BHATTACHARYA 97%

DR. B. C. ROY ENGINEERING COLLEGE

SNEHA PURWAR 94%

INDIRA GANDHI DELHI TECHNICAL UNIVERSITY FOR WOMEN

SAI KRISHNAN S 93%

COLLEGE OF ENGINEERING, GUINDY, ANNA UNIVERSITY

ATHARVA ANIRUDDHA VAIDYA 93%

DR. VISHWANATH KARAD MIT WORLD PEACE UNIVERSITY, PUNE

THIRUVAZHI DHINESH KUMAR S 93%

College of Engineering, Guindy - Anna University


Top 2 % of Certified Candidates

MOHIT JAIN 92%

S.R.M. INSTITUTE OF SCIENCE AND TECHNOLOGY

ANURAG ARJUNAN 91%

Bharat Electronics Ltd.

ASHOK KUMAR SIVARATHRI 91%

Indian Institute of Technology Mandi

CHARAN KATABATHUNI 91%

National Institute of Technology Warangal

GIRACH AYAZ MOHAMMEDHESENBHAI 91%

Government Polytechnic - Junagadh


Top 5 % of Certified Candidates

DEEPA ELIZABETH GEORGE 90%

TOC H INSTITUTE OF SCIENCE & TECHNOLOGY

MOHAMED ADNAN EHSAN 90%

MADRAS INSTITUTE OF TECHNOLOGY

ARYAN DHARMESHBHAI GORASIYA 90%

CHAROTAR UNIVERSITY OF SCIENCE AND TECHNOLOGY

SUHAIB M 90%

COLLEGE OF ENGINEERING TRIVANDRUM

SUDARSHAN BANERJEE 90%

S.R.M. INSTITUTE OF SCIENCE AND TECHNOLOGY

VADLA THARUN KUMAR 88%

GOKARAJU RANGARAJU INSTITUTE OF ENGINEERING AND TECHNOLOGY

GOKUL R 88%

M S RAMAIAH UNIVERSITY OF APPLIED SCIENCES

NIKHIL PRAMOD JANORKAR 88%

DR. VISHWANATH KARAD MIT WORLD PEACE UNIVERSITY, PUNE

DHERYA VARDHAN 88%

MIT World Peace University

HARIHARAN C A 88%

College of Engineering Guindy, Anna University

MADIGANA CHANDRA SHEKAR 87%

GOKARAJU RANGARAJU INSTITUTE OF ENGINEERING AND TECHNOLOGY

NISHANT AWDESHKUMAR PANDEY 86%

BMS INSTITUTE OF TECHNOLOGY AND MANAGEMENT

AMRUTKAR CHINMAY RAVINDRA 86%

DR. VISHWANATH KARAD MIT WORLD PEACE UNIVERSITY, PUNE

AISWARYA J S 86%

ACE COLLEGE OF ENGINEERING

DIVYANSH TIWARI 86%

M S RAMAIAH INSTITUTE OF TECHNOLOGY

OM SUKHADIA 86%

PANDIT DEENDAYAL PETROLEUM UNIVERSITY

Enrollment Statistics

Total Enrollment: 4979

Registration Statistics

Total Registration : 758

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.