1 (a)
What do you mean robot configuration? What is work space?
5 M
1 (b)
Explain, in brief, reactive system.
5 M
1 (c)
Describe unsupervised learning with suitable example.
5 M
1 (d)
Explain screw motion. Hence descibe how screw motion involves linear and rotation transformation.
5 M
2 (a)
Describe different types of environments applicable to AI agents.
10 M
2 (b)
Define blind search and informed search. Hence discuss the merits and demerits of each.
10 M
3
Using DH algorithm, derive homogeneous transformation matrix for following robot.
20 M
4 (a)
What is decision tree? How decision tree can be used for inference ? Give suitable example.
10 M
4 (b)
What is planning ? How it defers from searching?
10 M
5 (a)
Explain the structures of learning agent. What is role of critic in learning.
10 M
5 (b)
Discuss various learning methods.
10 M
6 (a)
Describe A* algorithm with merits and demerits.
10 M
6 (b)
What is heuristics function? How will you find suitable heuristic function ? Give suitable example.
10 M
7 (a)
Forward and inverse kinematics
5 M
7 (b)
Sensors used in robotics system
5 M
7 (c)
Belief Network
5 M
7 (d)
Hill Climbing algorithm
5 M
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