Robot Localization and Mapping Quiz With Answers

Computer MCQs 360June 16, 2024

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Robot Localization and Mapping Online MCQs

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Test Name: Robot Localization and Mapping MCQ Quiz Practice
Type: Quiz Test
Total Questions: 40
Total Marks: 40
Time: 40 minutes

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Robot Localization and Mapping

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1 / 40

Which technique is used for localization based on landmarks with uncertain positions?

GPS localization

SLAM

Monte Carlo Localization (MCL)

2 / 40

What is the main advantage of using feature-based mapping?

Increasing battery life

Efficient representation of the environment

Enhancing robot speed

3 / 40

What is a challenge in localization when dealing with ambiguous sensor data?

Increasing battery life

Enhancing physical strength

Resolving localization ambiguities

4 / 40

Which technique is used for localization using known landmarks without mapping?

Monte Carlo Localization (MCL)

GPS localization

SLAM

5 / 40

What is a limitation of grid-based mapping techniques?

High memory usage

Low computational speed

Limited sensor range

6 / 40

Which technique is used for localization without prior knowledge of the environment?

Vision-based localization

GPS localization

SLAM

7 / 40

What is the term for integrating new sensor data with previous estimates in localization?

Sensor fusion

Map updating

Recursive estimation

8 / 40

What is the role of sensor calibration in robot localization?

Ensuring accuracy of sensor data

Reducing sensor weight

Increasing robot speed

9 / 40

What is the primary challenge in outdoor robot localization?

Increasing battery life

Reducing sensor noise

Dealing with GPS inaccuracies

10 / 40

What is the benefit of using visual odometry for localization?

Increasing battery life

Reducing sensor weight

Estimating motion using visual features

11 / 40

Which technique is used for localization using natural landmarks?

Odometry

Inertial navigation

Landmark-based localization

12 / 40

What is the advantage of using laser scanners for mapping?

Increased processing speed

Low cost

High resolution and accuracy

13 / 40

What is the purpose of simultaneous localization and mapping (SLAM)?

Mapping the environment while localizing the robot

Reducing sensor noise

Increasing the robot's speed

14 / 40

Which approach is used for localization in dynamic environments?

Increasing the robot's speed

Continuous updating of the robot's position

Reducing sensor noise

15 / 40

What is the primary goal of probabilistic localization methods?

Reducing processing time

Estimating the robot's pose with uncertainty

Increasing sensor resolution

16 / 40

What is a challenge in localization when navigating complex terrains?

Increasing robot speed

Reducing sensor weight

Handling varied sensor data

17 / 40

What is the term for correcting accumulated error in robot localization?

Path planning

Loop closure

Sensor fusion

18 / 40

Which sensor fusion technique combines data from multiple sensors for localization?

Kalman Filter

Gyroscope

Speedometer

19 / 40

What is a benefit of using Kalman filters for robot localization?

Reducing sensor weight

Handling noisy sensor data

Increasing battery life

20 / 40

What is a limitation of using wheel odometry for long-term robot localization?

Low sensor accuracy

Accumulated drift error

High computational load

21 / 40

What is the benefit of using particle filters in robot localization?

Handling non-linearities and uncertainties

Increasing battery life

Improving sensor accuracy

22 / 40

What is a challenge in localization when GPS signals are unavailable?

Using odometry and sensor fusion

Increasing the robot's speed

Reducing sensor weight

23 / 40

What is robot localization?

Determining the robot's position relative to its environment

Enhancing battery life

Increasing the robot's speed

24 / 40

What is the role of odometry in robot localization?

Estimating robot position based on wheel encoders

Increasing the robot's speed

Reducing sensor noise

25 / 40

What is the role of a map in robot localization?

Increasing the robot's speed

Reducing sensor weight

Providing a reference of the environment

26 / 40

Which algorithm is used for landmark-based localization?

Extended Kalman Filter (EKF)

Backpropagation

Proportional-Integral-Derivative (PID)

27 / 40

What is a limitation of using GPS for robot localization indoors?

High cost

Signal blockage and multipath effects

Low accuracy

28 / 40

What is the primary goal of topological mapping in robot localization?

Reducing sensor weight

Representing spatial relationships

Increasing the robot's speed

29 / 40

Which approach is used for global localization of a robot?

Backpropagation

PID control

Monte Carlo Localization (MCL)

30 / 40

What is a challenge in localization when dealing with dynamic obstacles?

Updating the robot's position in real-time

Increasing robot speed

Reducing sensor weight

31 / 40

Which method is used for localization in GPS-challenged urban environments?

Sensor fusion

SLAM

Visual odometry

32 / 40

What is the term for estimating the uncertainty in robot localization?

Kinematic model

Histogram filter

Covariance matrix

33 / 40

Which sensor is commonly used for localization in indoor environments?

Thermometer

Microphone

LIDAR

34 / 40

Which technique is used for localization based on known landmarks in the environment?

SLAM

GPS localization

Landmark-based localization

35 / 40

What is a common method for robot localization in known environments?

Reactive navigation

Map-based localization

Predictive control

36 / 40

What is the primary focus of research in probabilistic robot localization?

Handling uncertainties in sensor data

Increasing the robot's speed

Reducing sensor weight

37 / 40

Which method is used for localization in GPS-denied environments?

SLAM

Inertial navigation

Visual odometry

38 / 40

What is a benefit of using landmark-based localization over grid-based methods?

Efficient computation

High sensor accuracy

Low memory usage

39 / 40

Which localization method is suitable for underwater robots?

Sonar-based localization

GPS localization

Infrared-based localization

40 / 40

What is the purpose of sensor fusion in robot localization?

Increasing robot speed

Reducing sensor weight

Integrating data from multiple sensors for improved accuracy

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Computer MCQs 360June 16, 2024

0 21 1 minute read