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

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

SLAM

GPS localization

Landmark-based localization

2 / 40

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

Vision-based localization

SLAM

GPS localization

3 / 40

Which algorithm is used for landmark-based localization?

Proportional-Integral-Derivative (PID)

Extended Kalman Filter (EKF)

Backpropagation

4 / 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

5 / 40

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

Efficient computation

High sensor accuracy

Low memory usage

6 / 40

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

Increasing battery life

Efficient representation of the environment

Enhancing robot speed

7 / 40

Which technique is used for localization using natural landmarks?

Odometry

Landmark-based localization

Inertial navigation

8 / 40

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

Resolving localization ambiguities

Enhancing physical strength

Increasing battery life

9 / 40

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

Map-based localization

Reactive navigation

Predictive control

10 / 40

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

GPS localization

Monte Carlo Localization (MCL)

SLAM

11 / 40

What is the primary challenge in outdoor robot localization?

Reducing sensor noise

Increasing battery life

Dealing with GPS inaccuracies

12 / 40

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

Low sensor accuracy

Accumulated drift error

High computational load

13 / 40

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

Handling non-linearities and uncertainties

Improving sensor accuracy

Increasing battery life

14 / 40

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

Signal blockage and multipath effects

Low accuracy

High cost

15 / 40

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

Map updating

Sensor fusion

Recursive estimation

16 / 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

17 / 40

Which approach is used for global localization of a robot?

Monte Carlo Localization (MCL)

PID control

Backpropagation

18 / 40

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

SLAM

Inertial navigation

Visual odometry

19 / 40

What is the primary goal of probabilistic localization methods?

Reducing processing time

Estimating the robot's pose with uncertainty

Increasing sensor resolution

20 / 40

What is the benefit of using visual odometry for localization?

Reducing sensor weight

Estimating motion using visual features

Increasing battery life

21 / 40

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

GPS localization

SLAM

Monte Carlo Localization (MCL)

22 / 40

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

Increasing the robot's speed

Handling uncertainties in sensor data

Reducing sensor weight

23 / 40

What is the role of odometry in robot localization?

Increasing the robot's speed

Estimating robot position based on wheel encoders

Reducing sensor noise

24 / 40

What is a limitation of grid-based mapping techniques?

Low computational speed

High memory usage

Limited sensor range

25 / 40

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

Covariance matrix

Kinematic model

Histogram filter

26 / 40

What is robot localization?

Increasing the robot's speed

Enhancing battery life

Determining the robot's position relative to its environment

27 / 40

What is the role of sensor calibration in robot localization?

Ensuring accuracy of sensor data

Reducing sensor weight

Increasing robot speed

28 / 40

Which localization method is suitable for underwater robots?

Infrared-based localization

Sonar-based localization

GPS localization

29 / 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

30 / 40

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

Sensor fusion

Visual odometry

SLAM

31 / 40

What is a challenge in localization when navigating complex terrains?

Increasing robot speed

Reducing sensor weight

Handling varied sensor data

32 / 40

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

Increasing robot speed

Updating the robot's position in real-time

Reducing sensor weight

33 / 40

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

Increasing battery life

Reducing sensor weight

Handling noisy sensor data

34 / 40

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

Gyroscope

Kalman Filter

Speedometer

35 / 40

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

Increasing the robot's speed

Mapping the environment while localizing the robot

Reducing sensor noise

36 / 40

Which sensor is commonly used for localization in indoor environments?

Thermometer

LIDAR

Microphone

37 / 40

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

Loop closure

Path planning

Sensor fusion

38 / 40

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

Representing spatial relationships

Reducing sensor weight

Increasing the robot's speed

39 / 40

What is the advantage of using laser scanners for mapping?

High resolution and accuracy

Low cost

Increased processing speed

40 / 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

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Computer MCQs 360June 16, 2024

0 3 1 minute read