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