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 a benefit of using Kalman filters for robot localization?

Handling noisy sensor data

Increasing battery life

Reducing sensor weight

2 / 40

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

Map updating

Sensor fusion

Recursive estimation

3 / 40

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

Resolving localization ambiguities

Increasing battery life

Enhancing physical strength

4 / 40

What is the primary goal of probabilistic localization methods?

Reducing processing time

Increasing sensor resolution

Estimating the robot's pose with uncertainty

5 / 40

What is the advantage of using laser scanners for mapping?

Low cost

Increased processing speed

High resolution and accuracy

6 / 40

What is a challenge in localization when navigating complex terrains?

Increasing robot speed

Handling varied sensor data

Reducing sensor weight

7 / 40

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

Improving sensor accuracy

Handling non-linearities and uncertainties

Increasing battery life

8 / 40

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

Enhancing robot speed

Increasing battery life

Efficient representation of the environment

9 / 40

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

Speedometer

Gyroscope

Kalman Filter

10 / 40

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

Histogram filter

Covariance matrix

Kinematic model

11 / 40

What is a limitation of grid-based mapping techniques?

High memory usage

Low computational speed

Limited sensor range

12 / 40

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

Low memory usage

Efficient computation

High sensor accuracy

13 / 40

Which algorithm is used for landmark-based localization?

Extended Kalman Filter (EKF)

Backpropagation

Proportional-Integral-Derivative (PID)

14 / 40

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

Increasing the robot's speed

Reducing sensor weight

Using odometry and sensor fusion

15 / 40

Which localization method is suitable for underwater robots?

GPS localization

Sonar-based localization

Infrared-based localization

16 / 40

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

Reducing sensor noise

Increasing the robot's speed

Mapping the environment while localizing the robot

17 / 40

What is robot localization?

Enhancing battery life

Determining the robot's position relative to its environment

Increasing the robot's speed

18 / 40

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

SLAM

GPS localization

Monte Carlo Localization (MCL)

19 / 40

Which approach is used for global localization of a robot?

PID control

Backpropagation

Monte Carlo Localization (MCL)

20 / 40

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

GPS localization

SLAM

Landmark-based localization

21 / 40

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

Map-based localization

Predictive control

Reactive navigation

22 / 40

What is the primary challenge in outdoor robot localization?

Increasing battery life

Reducing sensor noise

Dealing with GPS inaccuracies

23 / 40

Which sensor is commonly used for localization in indoor environments?

LIDAR

Thermometer

Microphone

24 / 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

25 / 40

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

SLAM

Inertial navigation

Visual odometry

26 / 40

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

Reducing sensor weight

Updating the robot's position in real-time

Increasing robot speed

27 / 40

What is the purpose of sensor fusion in robot localization?

Integrating data from multiple sensors for improved accuracy

Increasing robot speed

Reducing sensor weight

28 / 40

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

Increasing the robot's speed

Reducing sensor weight

Handling uncertainties in sensor data

29 / 40

Which approach is used for localization in dynamic environments?

Increasing the robot's speed

Reducing sensor noise

Continuous updating of the robot's position

30 / 40

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

Increasing the robot's speed

Reducing sensor weight

Representing spatial relationships

31 / 40

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

SLAM

Monte Carlo Localization (MCL)

GPS localization

32 / 40

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

Accumulated drift error

High computational load

Low sensor accuracy

33 / 40

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

Visual odometry

SLAM

Sensor fusion

34 / 40

Which technique is used for localization using natural landmarks?

Inertial navigation

Landmark-based localization

Odometry

35 / 40

What is the role of sensor calibration in robot localization?

Reducing sensor weight

Ensuring accuracy of sensor data

Increasing robot speed

36 / 40

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

High cost

Low accuracy

Signal blockage and multipath effects

37 / 40

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

Loop closure

Sensor fusion

Path planning

38 / 40

What is the role of a map in robot localization?

Increasing the robot's speed

Providing a reference of the environment

Reducing sensor weight

39 / 40

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

SLAM

Vision-based localization

GPS localization

40 / 40

What is the benefit of using visual odometry for localization?

Reducing sensor weight

Increasing battery life

Estimating motion using visual features

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Computer MCQs 360June 16, 2024

0 3 1 minute read