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AI Robotics Interview Questions
Questions Answers Views Company eMail

To overcome the need to backtrack in constraint satisfaction problem can be eliminated by a) Forward Searching b) Constraint Propagation c) Backtrack after a forward search d) Omitting the constraints and focusing only on goals

1 2752

The BACKTRACKING-SEARCH algorithm in Figure 5.3 has a very simple policy for what to do when a branch of the search fails: back up to the preceding variable and try a different value for it. This is called chronological-backtracking. It is also possible to go all the way to set of variable that caused failure. State whether True or False. a) True b) False

1929

Consider a problem of preparing a schedule for a class of student. This problem is a type of a) Search Problem b) Backtrack Problem c) CSP d) Planning Problem

3705

Constraint satisfaction problems on finite domains are typically solved using a form of ___________. a) Search Algorithms b) Heuristic Search Algorithms c) Greedy Search Algorithms d) DFS/BFS Search Algorithms

2299

Solving a constraint satisfaction problem on a finite domain is an/a ___________ problem with respect to the domain size. a) P complete b) NP complete c) NP hard d) Domain dependent

2323

 ____________ is/are useful when the original formulation of a problem is altered in some way, typically because the set of constraints to consider evolves because of the environment. a) Static CSPs b) Dynamic CSPs c) Flexible CSPs d) None of the above

1 3808

how we install a artificial intelligence software to our computer ?

1440

What is “generality” in ai ?

996

In top-down inductive learning methods how many literals are available? What are they?

1111

Give a brief introduction to robotics?

915

What is travelling salesman problem?

933

What are applications of expert system?

960

What is prolog in ai?

1158

What are benefits of expert systems?

910

What is augmented human intelligence?

907


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Un-Answered Questions { AI Robotics }

The BACKTRACKING-SEARCH algorithm in Figure 5.3 has a very simple policy for what to do when a branch of the search fails: back up to the preceding variable and try a different value for it. This is called chronological-backtracking. It is also possible to go all the way to set of variable that caused failure. State whether True or False. a) True b) False

1929


Which search agent operates by interleaving computation and action? a) Offline search b) Online search c) Breadth-first search d) Depth-first search

2881


Which of the following algorithm is online search algorithm? a) Breadth-first search algorithm b) Depth-first search algorithm c) Hill-climbing search algorithm d) None of the mentioned

1860


What brute-force search strategies?

927


What are the capabilities of expert systems?

922


What is artificial intelligence robotics?

914


 In A* approach evaluation function is a) Heuristic function b) Path cost from start node to current node c) Path cost from start node to current node + Heuristic cost d) Average of Path cost from start node to current node and Heuristic cost

4951


What is single agent pathfinding problems?

1183


How the new states are generated in genetic algorithm? a) Composition b) Mutation c) Cross-over d) Both b & c

3479


What are components of robotics?

961


What are the components of a robot?

1064


Explain the various types of industrial robots?

1072


What is the other name of informed search strategy? a) Simple search b) Heuristic search c) Online search d) None of the mentioned

5226


Why do we need technology intelligence?

1038


What is the heuristic function of greedy best-first search? a) f(n) != h(n) b) f(n) < h(n) c) f(n) = h(n) d) f(n) > h(n)

1560