Unit 6: AI for Intelligent Systems and Robotics - Practice Quiz

CSE252 — Introduction To Artificial Intelligence And Machine Learning 60 Questions
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1 What is the main purpose of image classification?

Computer Vision (Overview of Image Classification, Overview of Object Detection) for Intelligent Systems and Robotics Easy
A. To assign a label to an image
B. To translate spoken words
C. To measure battery power
D. To control motor speed

2 What does object detection identify in an image?

Computer Vision (Overview of Image Classification, Overview of Object Detection) for Intelligent Systems and Robotics Easy
A. Only the file size
B. Only the image color
C. The camera battery level
D. Objects and their locations

3 Which task is an example of image classification?

Computer Vision (Overview of Image Classification, Overview of Object Detection) for Intelligent Systems and Robotics Easy
A. Changing a picture into audio
B. Drawing a box around every dog
C. Increasing the robot's wheel speed
D. Deciding whether a picture shows a dog

4 What is a bounding box used for in object detection?

Computer Vision (Overview of Image Classification, Overview of Object Detection) for Intelligent Systems and Robotics Easy
A. To mark an object's location
B. To increase image brightness
C. To record microphone input
D. To store a robot's program

5 What does Natural Language Processing mainly help computers understand?

Natural Language Processing (NLP Fundamentals, Chatbots and Conversational AI) for Intelligent Systems and Robotics Easy
A. Battery temperature
B. Wheel movement
C. Human language
D. Image brightness

6 Which is an example of an NLP application?

Natural Language Processing (NLP Fundamentals, Chatbots and Conversational AI) for Intelligent Systems and Robotics Easy
A. Speech recognition
B. Motor repair
C. Object gripping
D. Battery charging

7 What is a chatbot?

Natural Language Processing (NLP Fundamentals, Chatbots and Conversational AI) for Intelligent Systems and Robotics Easy
A. A camera that detects colors
B. A motor that moves a robot
C. A sensor that measures distance
D. A program that communicates with users

8 What is the purpose of conversational AI?

Natural Language Processing (NLP Fundamentals, Chatbots and Conversational AI) for Intelligent Systems and Robotics Easy
A. To support human-like interaction
B. To measure room temperature
C. To reduce camera size
D. To improve wheel traction

9 What is text classification in NLP?

Natural Language Processing (NLP Fundamentals, Chatbots and Conversational AI) for Intelligent Systems and Robotics Easy
A. Assigning categories to text
B. Measuring sound volume
C. Moving a robot arm
D. Locating objects in images

10 In reinforcement learning, what is an agent?

Reinforcement Learning (Concepts - Agent, State, Action, Reward) in context Intelligent Systems and Robotics Easy
A. The score received after acting
B. The current situation description
C. The learner or decision-maker
D. The surrounding environment

11 What does the state represent in reinforcement learning?

Reinforcement Learning (Concepts - Agent, State, Action, Reward) in context Intelligent Systems and Robotics Easy
A. The selected movement
B. The learning score
C. The current situation
D. The system designer

12 What is an action in reinforcement learning?

Reinforcement Learning (Concepts - Agent, State, Action, Reward) in context Intelligent Systems and Robotics Easy
A. A collection of training examples
B. A description of the environment
C. A choice made by the agent
D. A reward value from the system

13 What does a reward provide to an agent?

Reinforcement Learning (Concepts - Agent, State, Action, Reward) in context Intelligent Systems and Robotics Easy
A. A camera image
B. Feedback about an action
C. A list of possible sensors
D. A fixed movement command

14 A robot receives a positive reward for reaching a target. What should it learn to do?

Reinforcement Learning (Concepts - Agent, State, Action, Reward) in context Intelligent Systems and Robotics Easy
A. Ignore the target location
B. Repeat actions that help reach targets
C. Choose actions randomly forever
D. Avoid using its sensors

15 What is an autonomous robot?

AI for Autonomous Robots Easy
A. A robot that only works when unplugged
B. A robot controlled by a fixed photograph
C. A robot that acts with limited human control
D. A robot that has no sensors

16 Which capability helps an autonomous robot avoid obstacles?

AI for Autonomous Robots Easy
A. Changing the screen font
B. Printing extra instructions
C. Sensing and environment mapping
D. Playing background music

17 Why do autonomous robots use computer vision?

AI for Autonomous Robots Easy
A. To recharge their batteries
B. To replace all mechanical parts
C. To increase their physical weight
D. To interpret visual surroundings

18 Which task can AI help an autonomous robot perform?

AI for Autonomous Robots Easy
A. Making all sensors unnecessary
B. Changing metal into plastic
C. Removing gravity from the room
D. Planning a route to a destination

19 Which is a likely future trend in intelligent robotics?

Future Trends in AI for Intelligent Systems and Robotics Easy
A. Less use of useful sensors
B. Removal of all safety systems
C. Replacement of software with paper
D. More human-robot collaboration

20 What does explainable AI aim to provide?

Future Trends in AI for Intelligent Systems and Robotics Easy
A. More colorful camera lenses
B. Faster battery charging
C. Understandable reasons for decisions
D. Larger robot wheels

21 A warehouse robot receives an image containing three boxes and two workers. It must identify each object's category and location. Which computer vision task is most suitable?

Computer Vision (Overview of Image Classification, Overview of Object Detection) for Intelligent Systems and Robotics Medium
A. Object detection
B. Image classification
C. Color correction
D. Image compression

22 An inspection robot classifies product images correctly during training but performs poorly on images captured under different factory lighting. Which change would most directly improve robustness?

Computer Vision (Overview of Image Classification, Overview of Object Detection) for Intelligent Systems and Robotics Medium
A. Reducing every image to one pixel
B. Applying brightness-based data augmentation
C. Training only on darker images
D. Removing the validation dataset

23 A robot must detect small tools scattered across a workbench. The detector frequently misses tools that occupy very few pixels. Which adjustment is most likely to help?

Computer Vision (Overview of Image Classification, Overview of Object Detection) for Intelligent Systems and Robotics Medium
A. Discard images containing small tools
B. Increase the robot's movement speed
C. Convert all labels into one class
D. Capture higher-resolution input images

24 An object detector predicts a box for a chair. The predicted box overlaps the labeled box, but their overlap is small compared with their combined area. What does this imply about the Intersection over Union (IoU)?

Computer Vision (Overview of Image Classification, Overview of Object Detection) for Intelligent Systems and Robotics Medium
A. The IoU must exceed one
B. The IoU is close to one
C. The IoU cannot be computed
D. The IoU is close to zero

25 A service robot receives the command, "Take the package to the reception desk." Which NLP output is most useful for planning the task?

Natural Language Processing (NLP Fundamentals, Chatbots and Conversational AI) for Intelligent Systems and Robotics Medium
A. Intent: classify; object: robot; destination: service
B. Intent: navigate; object: reception; destination: command
C. Intent: deliver; object: package; destination: reception desk
D. Intent: receive; object: desk; destination: package

26 A robot hears, "Place it beside the blue container," but two recently mentioned objects could be referred to by "it." What should the conversational system do?

Natural Language Processing (NLP Fundamentals, Chatbots and Conversational AI) for Intelligent Systems and Robotics Medium
A. Select the nearest object automatically
B. Move both objects beside the container
C. Ignore the pronoun and stop listening
D. Ask which object the user means

27 A multilingual guide robot must understand visitor requests in several languages while using one intent classifier. Which approach is most appropriate?

Natural Language Processing (NLP Fundamentals, Chatbots and Conversational AI) for Intelligent Systems and Robotics Medium
A. Assign a separate intent to each speaker
B. Use multilingual language representations
C. Remove words that differ across languages
D. Translate every request with word substitution

28 A chatbot controlling a home robot correctly identifies the intent "set temperature" but cannot execute "Set it to 22 degrees." Which missing capability is the most likely cause?

Natural Language Processing (NLP Fundamentals, Chatbots and Conversational AI) for Intelligent Systems and Robotics Medium
A. Object detection for the thermostat
B. Entity extraction for the temperature value
C. Image segmentation for the room layout
D. Reward shaping for motor control

29 A cleaning robot uses reinforcement learning. At a particular moment, its sensor readings indicate its position, battery level, and nearby obstacles. Together, these values represent the robot's:

Reinforcement Learning (Concepts - Agent, State, Action, Reward) in context Intelligent Systems and Robotics Medium
A. Policy update
B. State
C. Action
D. Reward

30 A delivery robot earns for completing a delivery, for a collision, and for every minute used. What behavior does this reward design encourage?

Reinforcement Learning (Concepts - Agent, State, Action, Reward) in context Intelligent Systems and Robotics Medium
A. Fast delivery while avoiding collisions
B. Frequent collisions followed by recovery
C. Slow movement regardless of delivery
D. Remaining stationary to preserve battery

31 A robotic arm always selects the action with the highest current estimated value and never tries alternatives. What learning problem may result?

Reinforcement Learning (Concepts - Agent, State, Action, Reward) in context Intelligent Systems and Robotics Medium
A. It may turn rewards into sensor readings
B. It may eliminate all possible actions
C. It may miss a better action
D. It may receive too many state variables

32 A robot receives a reward of now and a reward of one step later. If the discount factor is , what is the two-step discounted return?

Reinforcement Learning (Concepts - Agent, State, Action, Reward) in context Intelligent Systems and Robotics Medium
A.
B.
C.
D.

33 An autonomous mobile robot detects a person unexpectedly entering its planned path. Which response best demonstrates closed-loop autonomy?

AI for Autonomous Robots Medium
A. Wait for a remote operator every time
B. Continue along the original stored route
C. Delete the map and restart the mission
D. Sense the person, replan, and adjust motion

34 A robot uses wheel odometry for navigation, but its estimated position gradually becomes inaccurate because the wheels sometimes slip. Which additional capability best addresses this problem?

AI for Autonomous Robots Medium
A. More spoken commands from the user
B. Faster wheel rotation during every turn
C. Sensor fusion with camera or LiDAR data
D. A larger battery for longer operation

35 A farm robot must navigate through a field it has never seen while building a map and estimating its own location. Which technique is most relevant?

AI for Autonomous Robots Medium
A. Simultaneous Localization and Mapping
B. Supervised image classification
C. Database transaction processing
D. Natural language generation

36 An autonomous drone's navigation model works well in simulation but becomes unstable in real wind. Which training strategy most directly reduces this simulation-to-reality gap?

AI for Autonomous Robots Medium
A. Randomize wind and dynamics during simulation
B. Use one fixed route for all training
C. Remove motion sensors from the drone
D. Train only in perfectly still simulation

37 A next-generation household robot combines camera input, spoken instructions, and touch sensor readings to decide how to handle an object. Which emerging trend does this illustrate?

Future Trends in AI for Intelligent Systems and Robotics Medium
A. Offline data archiving
B. Static rule execution
C. Single-sensor automation
D. Multimodal AI

38 A medical-assistance robot processes camera data on the device instead of sending every frame to a cloud server. What is the main advantage of this edge AI approach?

Future Trends in AI for Intelligent Systems and Robotics Medium
A. Unlimited storage and computation
B. Lower latency and improved privacy
C. Automatic removal of model bias
D. Perfect accuracy without retraining

39 A collaborative robot learns a new assembly task from a few worker demonstrations and then adapts when the product shape changes. Which future capability is most clearly represented?

Future Trends in AI for Intelligent Systems and Robotics Medium
A. Few-shot adaptive learning
B. Single-purpose mechanical design
C. Manual database indexing
D. Fixed preprogrammed control

40 Before deploying an AI robot in a public hospital, engineers test whether its decisions differ unfairly across patient groups and record why each action was selected. Which future priority does this address?

Future Trends in AI for Intelligent Systems and Robotics Medium
A. Responsible and explainable AI
B. Longer wireless communication range
C. Higher mechanical lifting capacity
D. Faster unsupervised data collection

41 A warehouse robot must distinguish between visually similar packages while also locating several packages in the same camera frame. Which model output is most appropriate for this requirement?

Computer Vision (Overview of Image Classification, Overview of Object Detection) for Intelligent Systems and Robotics Hard
A. A single class label for the entire image
B. A class probability for every image pixel
C. A class label and bounding box for each detected package
D. A depth value for every detected package

42 An object detector performs well on daytime validation images but fails when a mobile robot enters a dim warehouse. Training and validation images have similar object categories, but their illumination distributions differ substantially. Which intervention most directly addresses the problem?

Computer Vision (Overview of Image Classification, Overview of Object Detection) for Intelligent Systems and Robotics Hard
A. Replace bounding-box regression with classification
B. Apply illumination-focused data augmentation
C. Increase the detector's confidence threshold
D. Reduce the number of object categories

43 A safety-critical robot uses an object detector to identify humans. Missing a person is substantially more dangerous than producing an occasional false alarm. Which evaluation strategy is most appropriate?

Computer Vision (Overview of Image Classification, Overview of Object Detection) for Intelligent Systems and Robotics Hard
A. Report only the detector's training loss
B. Select the threshold that maximizes precision
C. Select the threshold that prioritizes high recall
D. Optimize only for overall classification accuracy

44 Two predicted bounding boxes overlap the same ground-truth object with intersection-over-union values of and . A detector uses non-maximum suppression with an IoU threshold of . What normally happens?

Computer Vision (Overview of Image Classification, Overview of Object Detection) for Intelligent Systems and Robotics Hard
A. The higher-confidence box is suppressed by the lower-confidence box
B. The lower-confidence box is suppressed by the higher-confidence box
C. Both boxes are discarded because their IoU is too large
D. Both boxes are retained because both exceed

45 A robot's classifier achieves accuracy on a dataset where only of images contain a dangerous obstacle. It correctly detects of dangerous images but incorrectly flags of safe images. Approximately what is the precision of the danger detector?

Computer Vision (Overview of Image Classification, Overview of Object Detection) for Intelligent Systems and Robotics Hard
A.
B.
C.
D.

46 A service robot receives the utterance, "It is cold here; could you close that?" The word "that" refers to a nearby window identified by the robot's vision system. Which NLP capability is most essential for correct interpretation?

Natural Language Processing (NLP Fundamentals, Chatbots and Conversational AI) for Intelligent Systems and Robotics Hard
A. Character-level spelling correction
B. Part-of-speech tagging without dialogue history
C. Token frequency estimation
D. Coreference resolution using multimodal context

47 A chatbot receives the phrase "I need to cancel my appointment tomorrow," but the user has two appointments scheduled for tomorrow. What is the safest conversational response?

Natural Language Processing (NLP Fundamentals, Chatbots and Conversational AI) for Intelligent Systems and Robotics Hard
A. Reject the request because cancellation is ambiguous
B. Ask the user to identify which appointment
C. Cancel both appointments automatically
D. Cancel the appointment with the earliest time

48 A robot assistant is deployed in a hospital. Its language model is highly fluent but sometimes invents medication instructions when retrieval fails. Which design change most directly reduces this safety risk?

Natural Language Processing (NLP Fundamentals, Chatbots and Conversational AI) for Intelligent Systems and Robotics Hard
A. Ground responses in verified sources with refusal rules
B. Permit unrestricted responses for conversational smoothness
C. Remove uncertainty signals from the user interface
D. Increase the model's temperature during generation

49 A multilingual robot receives commands in languages not represented during training. Which approach is most likely to improve intent recognition while preserving a shared downstream policy?

Natural Language Processing (NLP Fundamentals, Chatbots and Conversational AI) for Intelligent Systems and Robotics Hard
A. Translate all commands into a shared canonical representation
B. Ignore syntax and classify using sentence length
C. Train an independent policy for every language
D. Use language-specific labels with incompatible meanings

50 A voice-controlled robot must distinguish between "pick up the red cup" and "do not pick up the red cup." Which failure would be especially dangerous if the NLP pipeline relies mainly on keyword matching?

Natural Language Processing (NLP Fundamentals, Chatbots and Conversational AI) for Intelligent Systems and Robotics Hard
A. Using a shorter synonym for "cup"
B. Failure to recognize a plural noun
C. Ignoring negation scope in the command
D. Confusing two equivalent pronunciations

51 A robot navigates using a camera that cannot observe obstacles behind walls. If the controller treats the current image as the complete state, which assumption is most likely violated?

Reinforcement Learning (Concepts - Agent, State, Action, Reward) in context Intelligent Systems and Robotics Hard
A. The environment has a finite action set
B. The policy maps inputs to actions
C. The reward is represented by a scalar
D. The observation satisfies the Markov property

52 A delivery robot receives a large positive reward when it reaches its destination but no intermediate rewards. Training is slow because successful trajectories are rare. Which modification most directly addresses this issue without changing the final objective?

Reinforcement Learning (Concepts - Agent, State, Action, Reward) in context Intelligent Systems and Robotics Hard
A. Remove the terminal reward from successful episodes
B. Use reward shaping based on progress toward the destination
C. Increase the discount factor to exactly zero
D. Randomize the action meanings during each episode

53 A robot receives reward for reaching a target and for every time step. It can choose a risky shortcut or a safe longer route. What behavior does the reward function explicitly encourage?

Reinforcement Learning (Concepts - Agent, State, Action, Reward) in context Intelligent Systems and Robotics Hard
A. Reaching the target quickly while avoiding excessive steps
B. Maximizing travel time regardless of safety
C. Ignoring the target after receiving the first negative reward
D. Choosing the route with the greatest number of actions

54 During training, a robot learns to repeatedly approach a charging station and reset because the reset transition accidentally provides a large reward. What is the primary problem?

Reinforcement Learning (Concepts - Agent, State, Action, Reward) in context Intelligent Systems and Robotics Hard
A. The reward function creates an exploitable loophole
B. The state representation contains too many sensor values
C. The action space is necessarily too continuous
D. The discount factor prevents all repeated behavior

55 A robot's policy performs well in simulation but collides with furniture on a real floor because the simulated wheel friction and sensor noise were too idealized. Which strategy most directly improves transfer?

Reinforcement Learning (Concepts - Agent, State, Action, Reward) in context Intelligent Systems and Robotics Hard
A. Use domain randomization during simulation training
B. Remove sensor inputs from the policy
C. Increase the robot's maximum speed
D. Train only on the single nominal simulator

56 An autonomous delivery robot detects a pedestrian using vision, estimates the pedestrian's motion, plans a path, and sends velocity commands. Which architectural property is most important for safe operation under changing conditions?

AI for Autonomous Robots Hard
A. A planner that ignores new sensor measurements during execution
B. A single irreversible decision made before deployment
C. A controller that optimizes appearance rather than collision risk
D. A closed-loop cycle of perception, prediction, planning, and control

57 A robot has an accurate global map but its localization estimate drifts when wheel slip occurs. Which sensor-fusion improvement is most appropriate?

AI for Autonomous Robots Hard
A. Use wheel encoders as the only localization source
B. Combine odometry with independent absolute measurements
C. Discard all observations after initialization
D. Increase motor speed to reduce localization uncertainty

58 A robot must operate near humans, but its perception model is uncertain because of rain and glare. Which decision policy is most appropriate for a safety-critical action?

AI for Autonomous Robots Hard
A. Ignore uncertainty because planning occurs afterward
B. Execute the action whenever the top class exceeds
C. Treat model confidence as a guaranteed probability
D. Use uncertainty-aware thresholds and a safe fallback

59 A future household robot is expected to perform novel tasks described in natural language and adapt to unfamiliar homes. Which combination of capabilities most directly supports this goal?

Future Trends in AI for Intelligent Systems and Robotics Hard
A. Higher motor speed, smaller batteries, and static lookup tables
B. Image classification alone with manually scripted trajectories
C. Fixed rules, closed-world assumptions, and no online feedback
D. Foundation models, multimodal grounding, and continual adaptation

60 A robot manufacturer wants to deploy an AI model on an embedded device with limited power and strict response-time requirements. Which trend most directly addresses this constraint?

Future Trends in AI for Intelligent Systems and Robotics Hard
A. Cloud-only inference with larger network delays
B. Offline operation without any learned perception model
C. Uncompressed models with increased parameter counts
D. Edge AI using model compression and efficient architectures