AI in Robotics: Fundamentals and Applications MCQ Exam
Explore key concepts in autonomous systems, robot design and machine learning in robotics. Perfect for students and robotics professionals.
Questions (30)
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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
View Answer
Correct To enable robots to perform tasks autonomously -
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
View Answer
Correct A* (A-star) algorithm -
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
View Answer
Correct A technique used for determining the robot’s location and mapping an environment simultaneously -
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
View Answer
Correct Reinforcement learning -
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
View Answer
Correct By allowing robots to recognize objects and navigate in their environment -
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
View Answer
Correct To collect data from the robot's environment, enabling decision-making -
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
View Answer
Correct It helps robots recognize patterns and make complex decisions based on large datasets -
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
View Answer
Correct Reinforcement learning -
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
View Answer
Correct It moves and controls the robot’s body based on commands -
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
View Answer
Correct Generalization -
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
View Answer
Correct To improve efficiency, precision and automation in manufacturing processes -
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
View Answer
Correct By making robots understand and respond to human speech and gestures -
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
View Answer
Correct Human-robot interaction (HRI) AI -
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
View Answer
Correct The robot’s ability to function without human intervention -
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
View Answer
Correct It enables robots to learn behaviors through rewards and penalties from interactions with their environment -
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
View Answer
Correct A set of algorithms that try to recognize underlying relationships in a set of data by mimicking the human brain -
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
View Answer
Correct A* (A-star) algorithm -
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
View Answer
Correct By using algorithms to analyze sensory data and make real-time decisions -
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
View Answer
Correct Medical robots (surgical robots) -
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
View Answer
Correct Reinforcement learning -
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
View Answer
Correct Through natural language processing (NLP) and computer vision to understand commands -
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
View Answer
Correct By processing and learning from large datasets to identify patterns -
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
View Answer
Correct Ensuring robots can function effectively in unpredictable or dynamic settings -
Which field is expected to see the greatest impact from AI-driven robotics?
- a) Retail
- b) Entertainment
- c) Legal
- d) Healthcare
View Answer
Correct Healthcare -
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
View Answer
Correct It allows robots to navigate and make decisions based on sensory input and environment mapping -
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
View Answer
Correct By analyzing the components and optimizing their placement autonomously -
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
View Answer
Correct Enabling robots to understand and respond to human instructions and gestures -
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
View Answer
Correct The development of robots with decision-making capabilities that mimic human cognition -
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
View Answer
Correct By sharing information and learning from human input -
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
View Answer
Correct Convolutional neural networks (CNNs)
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