Thursday, July 3, 2014

ROBOTICS AND ARTIFICIAL INTELLIGENCE (RAI), B.E. Computer Science (CS), Semester 7, May 2009. Robotics.

ROBOTICS AND ARTIFICIAL INTELLIGENCE (RAI),

B.E. Computer Science (CS), Semester 7, May 2009.

Robotics.
Con.3357-09
VR- 4125
(3 Hours)
[Total Mark: 100]

N. B.: (1) Question no 1 is compulsory.

(2) Attempt any four questions out of the remaining six questions.

1. (a) Discuss the differences between fixed and flexible automation. --- (5 Marks)

(b) What is linear interpolation with parabolic blends? What are the advantages? --- (5 Marks)

(c) Define the following terms: Tool Path, Tool Trajectory, OOF, Precision, Accuracy. --- (5 Marks)

(d) Define Kinematic Parameters. --- (5 Marks)

2. (a) Explain the edge detection algorithm. --- (10 Marks)

(b) Explain Bounded Deviation Algorithm. --- (10 Marks)

3. (a) What is image smoothening? Explain how it is done on a binary image. --- (10 Marks)

(b) Construct the arm matrix using homogeneous transformation matrices for a 2-DOF articulated robot. Draw neat diagram. --- (10 Marks)

4. (a) Determine the tool configuration vector of SCARA robot, when - --- (10 Marks)


(b)
Explain guarded and constrained motion. --- (10 Marks)

5. (a) Explain the effect of moment of inertia on the dynamic performance of a robot.--- (10 Marks)

(b) What is an Inverse Kinematics problem? What are the methods of solving it? Compare numerical approaches over analytical approaches. ---- (10 Marks)

6. (a) Explain the PNP motion trajectory in details.--- (10 Marks)

(b) Explain position uncertainty and velocity uncertainty. --- (5 Marks)

(c) Define Total work envelope, Joint space work envelope and Dexterous work Envelope with their relevant formulae and explain each term in them. --- (5 Marks)

7. Write short notes on :- --- (20 Marks)

(a) NC and CNC machines

(b) Perspective transformation

(c) Robot programming

(d) Linear interpolation with parabolic blends.

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