Robotics and Artificial Intelligence Notes Mumbai University

Hey , from my friend I get information that Robotics and Artificial Intelligence course lecture notes of Mumbai University is the best for preparation for exam . Will you please tell how I can get the Robotics and Artificial Intelligence course lecture notes of Mumbai University.

Hello sir, I’m doing graduation from Mumbai University and I’m looking for the notes of Robotics and Artificial Intelligence. If you have present Robotics and Artificial Intelligence Notes of Mumbai University then please provide me?

[Raman Vij]

Here I’m providing you file for the notes of Robotics and Artificial Intelligence Notes of Mumbai University:

Robotics and Artificial Intelligence Notes of Mumbai University








Here I’m also giving you some question of Mumbai University question papers held on VII Sem CSE Examination Dec 2011 in Robotics and AI:


1. (a) Define Automation. Differentiate between soft and hard automation.
(b) list and define Kinematic parameters.
(c) Explain in brief various types of work envelopes.
(d) Explain fundamental rotation. Developed fundamental rotation matrices.

2. (a) Define Direct Kinematics. Develop arm equation for 5-axis RHINO XR3 robot with the help of D-H Algorithm
(b) Explain PnP operation with sketches.

3. (a) Obtain Inverse Kinematic Solution for 4 axis SCARA robot. 10
(b) Explain various template matching algorithms and compare them. 10

4. (a) Classify robot as per workspace and explain in brief. 10
(b) Explain Bounded Deviation Algorithm (BDA) to obtain straight line motion.

5.(a) List various workspace fixtures and explain them in brief. 10
(b) State the role of shrink and swell operators in robot vision. Differentiate between these operators with suitable examples.

6. (a) List various specifications of robot and explain at least 6 significant specifications with sketches wherever required.
(b) Explain configuration space and also the role of G. V. D. in task planning. 10

7. Write short notes on the following :-
(a) NC VS CNC machines
(b) Interpolated motion
(c) Perspective transformations
(d) Tool Configuration Vector (TCV