AI in Robotics: Fundamentals and Applications MCQ Exam
Questions: 30
Questions
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1. What is the primary goal of using AI in robotics?
- a) To enable robots to perform tasks autonomously
- b) To build robots with human-like consciousness
- c) To make robots more energy-efficient
- d) To improve human-robot interaction
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2. What type of AI algorithm is commonly used for path planning in robotics?
- a) Neural networks
- b) Reinforcement learning
- c) Genetic algorithms
- d) A* (A-star) algorithm
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3. In the context of AI in robotics, what is SLAM (Simultaneous Localization and Mapping)?
- a) A technique used for determining the robot’s location and mapping an environment simultaneously
- b) A method for predicting the weather patterns in real-time
- c) An algorithm for data compression
- d) A way to enhance robot battery life
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4. Which AI technique allows a robot to learn from experience through trial and error?
- a) Supervised learning
- b) Reinforcement learning
- c) Unsupervised learning
- d) Deep learning
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5. How does computer vision contribute to robotics?
- a) By allowing robots to recognize objects and navigate in their environment
- b) By enhancing the robot's ability to process raw data
- c) By enabling robots to engage in human-like conversations
- d) By predicting future actions of robots
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6. What is the role of sensors in AI-powered robots?
- a) To collect data from the robot's environment, enabling decision-making
- b) To reduce the robot's energy consumption
- c) To enable robots to communicate with humans
- d) To make robots self-aware
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7. What is the significance of deep learning in robotics?
- a) It helps robots recognize patterns and make complex decisions based on large datasets
- b) It improves the speed of robot movement
- c) It allows robots to detect basic obstacles
- d) It reduces the weight of robots
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8. Which type of machine learning is used in robotic applications for real-time decision-making?
- a) Supervised learning
- b) Unsupervised learning
- c) Reinforcement learning
- d) Deep learning
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9. What is the function of the robot’s actuator in AI robotics?
- a) It processes the sensory data and makes decisions
- b) It moves and controls the robot’s body based on commands
- c) It communicates with human operators
- d) It powers the robot
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10. In robotics, which concept refers to the robot's ability to adapt to changing environments?
- a) Static programming
- b) Flexibility
- c) Cognitive autonomy
- d) Generalization
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11. What is the role of AI in industrial robots?
- a) To improve efficiency, precision and automation in manufacturing processes
- b) To replace human workers in the workforce
- c) To allow robots to learn from human mistakes
- d) To make robots conscious of their actions
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12. How is AI used to improve robot-human interaction?
- a) By making robots understand and respond to human speech and gestures
- b) By making robots predict human movements
- c) By improving robot strength
- d) By increasing robot speed
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13. What kind of AI is used in collaborative robots (cobots) to work alongside humans?
- a) Supervised learning
- b) Unsupervised learning
- c) Reinforcement learning
- d) Human-robot interaction (HRI) AI
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14. In robotics, what does the term “autonomy” refer to?
- a) The robot’s ability to function without human intervention
- b) The ability of a robot to perform tasks only with human guidance
- c) The robot’s speed
- d) The robot's ability to mimic human behavior
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15. How does reinforcement learning help in robotics?
- a) It enables robots to learn behaviors through rewards and penalties from interactions with their environment
- b) It helps robots to memorize tasks
- c) It allows robots to process data faster
- d) It helps robots to store data in cloud storage
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16. In AI robotics, what is a “neural network”?
- a) A set of algorithms that try to recognize underlying relationships in a set of data by mimicking the human brain
- b) A type of software used to control a robot
- c) A network of robots working together to complete a task
- d) A system used to store robot data
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17. Which algorithm is most commonly used for robot pathfinding in unknown environments?
- a) K-means clustering
- b) A* (A-star) algorithm
- c) Decision tree
- d) Support vector machine
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18. How does AI enable robots to work autonomously in dynamic environments?
- a) By using algorithms to analyze sensory data and make real-time decisions
- b) By using pre-programmed instructions
- c) By communicating with human supervisors
- d) By functioning only in controlled environments
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19. Which type of robot primarily benefits from AI for precise and flexible tasks in medicine?
- a) Industrial robots
- b) Autonomous delivery robots
- c) Medical robots (surgical robots)
- d) Agricultural robots
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20. What type of learning is essential for robots that need to improve their performance over time?
- a) Supervised learning
- b) Reinforcement learning
- c) Deep learning
- d) Unsupervised learning
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21. How do robots equipped with AI learn to interact with humans?
- a) Through natural language processing (NLP) and computer vision to understand commands
- b) By following simple instructions from humans
- c) By analyzing human behavior over time
- d) By mimicking other robots
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22. How does machine learning help robots to learn new tasks?
- a) By processing and learning from large datasets to identify patterns
- b) By receiving human input for every action
- c) By performing tasks that have been pre-programmed only
- d) By mimicking human behavior without learning
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23. What is a challenge in AI for robotics regarding real-time environments?
- a) Ensuring robots can function effectively in unpredictable or dynamic settings
- b) Allowing robots to handle only static tasks
- c) Minimizing robot size
- d) Ensuring robots cannot interact with humans
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24. Which field is expected to see the greatest impact from AI-driven robotics?
- a) Retail
- b) Entertainment
- c) Legal
- d) Healthcare
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25. What is the importance of AI in robotic navigation?
- a) It helps robots move without sensors
- b) It allows robots to navigate and make decisions based on sensory input and environment mapping
- c) It allows robots to rely on human guidance only
- d) It enables robots to predict human movements
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26. How do robots use AI to perform complex assembly tasks?
- a) By analyzing the components and optimizing their placement autonomously
- b) By manually assembling components
- c) By following simple, pre-programmed instructions
- d) By using external human guidance
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27. What role does AI play in human-robot collaboration in workplaces?
- a) Helping robots develop independent goals
- b) Allowing robots to replace human workers completely
- c) Enabling robots to understand and respond to human instructions and gestures
- d) Enabling robots to interact with other robots
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28. What does “cognitive robotics” focus on?
- a) The development of robots with decision-making capabilities that mimic human cognition
- b) Enhancing robots’ strength
- c) Making robots more durable
- d) Focusing on robots’ mobility
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29. How do AI-based robots make decisions in a collaborative environment?
- a) By copying human actions
- b) By operating independently without human intervention
- c) By sharing information and learning from human input
- d) By solely relying on predefined tasks
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30. Which AI algorithm is used in robotics for object detection?
- a) Support vector machine
- b) Convolutional neural networks (CNNs)
- c) K-means clustering
- d) Logistic regression
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