What is computer vision?

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What is used for tracking uncertain events? a) Filtering algorithm b) Sensors c) Actuators d) None of the mentioned

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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

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 Which method is effective for escaping from local minima? a) Updating heuristic estimate b) Reducing heuristic estimate c) Eliminating heuristic estimate d) None of the mentioned

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In hmm’s, what are the possible values of the variable?

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Name some expert system technology?

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What are aspects of robotics?

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Which kind of agent architecture should an agent an use? a) Relaxed b) Logic c) Relational d) All of the mentioned

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What is a difference in robot system and ai programs?

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What is called as exploration problem? a) State and actions are unknown to the agent b) State and actions are known to the agent c) Only actions are known to agent d) Both b & c

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Describe the various phases of a robotics life cycle?

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A complete, local search algorithm always finds goal if one exists, an optimal algorithm always finds a global minimum/maximum. State whether True or False. a) True b) False

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