Robot Localization and Mapping MCQs With Answers

Computer MCQs 360June 16, 2024

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Welcome to the Robot Localization and Mapping MCQs with Answers. In this post, we have shared Robot Localization and Mapping Online Test for different competitive exams. Find practice Robot Localization and Mapping Practice Questions with answers in Computer Tests exams here. Each question offers a chance to enhance your knowledge regarding Robot Localization and Mapping.

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

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

Representing spatial relationships

Increasing the robot's speed

Reducing sensor weight

2 / 40

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

Efficient computation

Low memory usage

High sensor accuracy

3 / 40

What is the role of a map in robot localization?

Providing a reference of the environment

Reducing sensor weight

Increasing the robot's speed

4 / 40

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

Kinematic model

Histogram filter

Covariance matrix

5 / 40

Which approach is used for localization in dynamic environments?

Continuous updating of the robot's position

Increasing the robot's speed

Reducing sensor noise

6 / 40

Which technique is used for localization using natural landmarks?

Odometry

Landmark-based localization

Inertial navigation

7 / 40

What is the primary challenge in outdoor robot localization?

Reducing sensor noise

Dealing with GPS inaccuracies

Increasing battery life

8 / 40

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

Map-based localization

Reactive navigation

Predictive control

9 / 40

Which algorithm is used for landmark-based localization?

Backpropagation

Proportional-Integral-Derivative (PID)

Extended Kalman Filter (EKF)

10 / 40

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

Reducing sensor weight

Increasing battery life

Handling noisy sensor data

11 / 40

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

Increasing battery life

Resolving localization ambiguities

Enhancing physical strength

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 a limitation of grid-based mapping techniques?

High memory usage

Limited sensor range

Low computational speed

14 / 40

Which sensor is commonly used for localization in indoor environments?

LIDAR

Microphone

Thermometer

15 / 40

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

Loop closure

Path planning

Sensor fusion

16 / 40

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

GPS localization

Monte Carlo Localization (MCL)

SLAM

17 / 40

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

SLAM

Monte Carlo Localization (MCL)

GPS localization

18 / 40

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

Updating the robot's position in real-time

Reducing sensor weight

Increasing robot speed

19 / 40

What is robot localization?

Determining the robot's position relative to its environment

Increasing the robot's speed

Enhancing battery life

20 / 40

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

High computational load

Low sensor accuracy

Accumulated drift error

21 / 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

22 / 40

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

Map updating

Recursive estimation

Sensor fusion

23 / 40

Which localization method is suitable for underwater robots?

GPS localization

Infrared-based localization

Sonar-based localization

24 / 40

What is the role of sensor calibration in robot localization?

Reducing sensor weight

Increasing robot speed

Ensuring accuracy of sensor data

25 / 40

What is the role of odometry in robot localization?

Increasing the robot's speed

Reducing sensor noise

Estimating robot position based on wheel encoders

26 / 40

What is a challenge in localization when navigating complex terrains?

Handling varied sensor data

Reducing sensor weight

Increasing robot speed

27 / 40

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

Efficient representation of the environment

Increasing battery life

Enhancing robot speed

28 / 40

What is the primary goal of probabilistic localization methods?

Increasing sensor resolution

Reducing processing time

Estimating the robot's pose with uncertainty

29 / 40

What is the purpose of sensor fusion in robot localization?

Reducing sensor weight

Increasing robot speed

Integrating data from multiple sensors for improved accuracy

30 / 40

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

GPS localization

SLAM

Landmark-based localization

31 / 40

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

Improving sensor accuracy

Handling non-linearities and uncertainties

Increasing battery life

32 / 40

Which approach is used for global localization of a robot?

Backpropagation

PID control

Monte Carlo Localization (MCL)

33 / 40

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

Reducing sensor weight

Increasing the robot's speed

Handling uncertainties in sensor data

34 / 40

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

Visual odometry

SLAM

Inertial navigation

35 / 40

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

SLAM

Visual odometry

Sensor fusion

36 / 40

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

Increasing the robot's speed

Using odometry and sensor fusion

Reducing sensor weight

37 / 40

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

Low accuracy

High cost

Signal blockage and multipath effects

38 / 40

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

GPS localization

Vision-based localization

SLAM

39 / 40

What is the benefit of using visual odometry for localization?

Reducing sensor weight

Estimating motion using visual features

Increasing battery life

40 / 40

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

Kalman Filter

Speedometer

Gyroscope

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Computer MCQs 360June 16, 2024

0 19 1 minute read