Robotics mcq questions and answers

1. Artificial Intelligent is

1. System to make machine intelligent
2. Computer to make machine intelligent
3. Study of algorithms to make machine intelligent
4. Study to create animation

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2. Father of AI

1. John McCarthy
2. Alan Turing
3. Norbert Wiener
4. Newell and Simon

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3. What is a state space

1. The set of all states reachable from the initial state.
2. All goal states
3. All initial states
4. Reversible states

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4. What is goal Test?

1. It determines whether a given state is goal state.
2. It determines numeric cost of goal state.
3. It determine path from the initial to goal state.
4. All of the above

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5. In, Hill Climbing Algorithm

1. We need to consider all nodes generated from initial node
2. We need to consider all nodes generated from current node
3. We need to consider all nodes generated from goal node

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6. Types of Hill Climbing Algorithm are

1. Simple hill Climbing
2. Steepest-Ascent hill-climbing
3. Stochastic hill Climbing
4. Startfast hill climbing

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7. Termination criteria for Hill Climbing algorithm is

1. no successor of the node has a better heuristic value.
2. no successor of the node has a less heuristic value.

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8. DFID means

1. Depth First Iterative deepening
2. Depth First Information Depended
3. Depth First Information Difference

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9. DB-DFS stands for *

1. Depth Bind Depth First Search
2. Depth Bounded Depth First Search

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10. In Goal Stack Planning, Robot arm can perform actions like

1. Unstack, Stack
2. Pikup, Putdown
3. Move and Generate

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AIR mcq sppu

11. unstack (x,y) means

1. Pick up X from its current position on block Y.
2. Place block X on block Y.
3. Pick up X from the table and hold it

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12. For representation of STRIPS language we require

1. Goal State and Initial State
2. Actions
3. All of the above

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13. STRIPS Language Representation, we need to use

1. First order predicate
2. Second order predicate
3. None of the above

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14. FSSP starts with

1. goal state and try to find initial state
2. initial state and try to find goal state
3. None of the above

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15. Stack (x,y) means

1. Pick up X from its current position on block Y.
2. Place block X on block Y.
3. Pick up X from the table and hold it.

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16. In order to solve a problem represented by AND node,

1. you need to solve the problems represented by all of his children
2. you need to solve the problems represented by any one of his children
3. you need to solve the problems represented by any two of his children

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Artificial Intelligence and Robotics mcqs

17. In order to solve a problem represented by OR node,

1. you need to solve the problems represented by all of his children
2. you need to solve the problems represented by any one of his children
3. you need to solve the problems represented by any two of his children

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18. In Rule based system, rules represented in the form of

1. Pattern -> Action
2. Action -> Pattern

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19. OPS5 stands for

1. Official Production System
2. Official Produce System
3. Office Production System

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Artificial Intelligence and Robotics mcqs questions

20. Types of Localization

1. Global and Local Localization
2. Strong and Week Localization

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21. Landmark Classes are

1. active or passive
2. natural or artificial
3. Sound navigate and range

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22. Trilateration refers to

1. the use of distance contraints
2. the use of angle (orientation) constraints.
3. the use of free space

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23. What is Delivery Robots?

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24. Triangulation refers to

1. the use of angle (orientation) constraints.
2. the use of variable constraints.

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25. Mapping Techniques are

1. Sensorial
2. Topological
3. Geometric
4. All of above

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26. Metric maps

1. which are based on an absolute reference frame and numerical estimates of where objects are in space
2. which are based on an absolute variable frame

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27. Topological maps also known as

1. relational maps
2. topological maps
3. sensors maps

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28. Robotics deals with

1. the construction, use of robots and computer systems
2. the design, use of robots and computer systems
3. the operation, use of robots and computer systems
4. All of the above

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29. Components of robotics are

1. power source
2. collection of sensors
3. communication hardware
4. all of the above

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30. Which is Path Planning algorithm

1. Bug2 Algorithm
2. Point to algorithm
3. Bug_P algorithm

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31. Bug2 Algorithm is

1. from the class of bug algorithms.
2. from the class of bug-free algorithms.
3. from the class of bug-miss algorithms.

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32. Range Sensors returns infinity if ………………… exists in that direction

1. no obstacle
2. obstacle
3. free space

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33. Sonar sensor stands for

1. Sound navigation and ranging
2. Sound navigate and ranging
3. Sound navigate and range

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34. Laser rangefinders are based on methodologies like

1. Triangulation
2. Time of flight (TOF)
3. Phase-based
4. all of above

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35. Radar stands for

1. Radio detecting and ranging
2. Radio detecting and ringing
3. Ratio detecting and raining

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36. Sensory-based behavior divided into two basic classes

1. tropism and taxis
2. tropism and axis
3. tropism and terms

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37. Knowledge based agent used

1. Tell and Ask interface
2. Tell and remove interface
3. Remove and solve interface

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38. Inputs for Inference engine are

1. Knowledge base
2. Input from environment
3. Query
4. All of above

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39. Compound Proposition means

1. A statement formed from one or more atomic propositions using logical connectives.
2. A statement that does not specifically contain sub statements

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40. We can use quantifiers in ……….

1. Propositional logic
2. Predicate logic
3. First order logic
4. both 2 and 3

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41. Types of quantifiers are

1. Universal
2. Existential
3. All of the above

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42. Unification algorithm used to find *

1. Quantifiers
2. Unifier
3. Rule

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43. In unification algorithm, if two predicate expressions having same
………………then only we can find unifier

1. Initial Predicate symbol
2. No of arguments
3. All of above

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44. Unifier means

1. Substitution so that two predicate expression will be identical.
2. Addition so that two predicate expression will be identical.
3. All of the above

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45. FOL Stands for

1. First office order
2. First order logic
3. Firstly order logic

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46. In ontology, we need to consider

1. Object and Categories
2. Unifier
3. Rule

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47. First step of NLP is

1. Lexical Analysis
2. Symantec Analysis
3. Syntactic Analysis

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48. NLP stands for

1. Natural Language Processing
2. Neutral Language processing

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49. Pragmatic analysis means

1. It involves deriving those aspects of language which require real world knowledge.
2. It draws the exact meaning or the dictionary meaning from the text.
3. It involves identifying and analyzing the structure of words.

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50. The ………….is the basic information processing unit of a NN

1. neuron
2. Bias
3. Network

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51. Back propagation used to

1. modify weights to minimize errors
2. modify weights to maximize errors
3. modify algorithm to minimize errors

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52. Calculation of error in backpropagation

1. ErrorB= Actual Output – Desired Output
2. ErrorB= Desired Output – Actual Output

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53. Disadvantage of backpropagation is

1. Backpropagation can be quite sensitive to noisy data.
2. It has no parameters to tune apart from the numbers of input.
3. It is a standard method that generally works well.

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54. Types of Machine learning are

1. Reinforcement Learning
2. Supervised Learning
3. Unsupervised Learning
4. All of the above

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55. In supervised Learning,………………….will be used

1. Labeled data
2. Unlabeled data
3. missing data

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56. In unsupervised Learning,………………….will be used

1. Labeled data
2. Unlabeled data
3. missing data

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