Robot Path Planning Quiz With Answers

Computer MCQs 360June 16, 2024

0 44 1 minute read

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

Robot Path Planning Online MCQs

By presenting 3 options to choose from, Robot Path Planning Quiz which cover a wide range of topics and levels of difficulty, making them adaptable to various learning objectives and preferences. You will have to read all the given answers of Robot Path Planning Questions and Answers and click over the correct answer.

Test Name: Robot Path Planning MCQ Quiz Practice
Type: Quiz Test
Total Questions: 40
Total Marks: 40
Time: 40 minutes

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Robot Path Planning

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1 / 40

What is a benefit of using grid-based methods for path planning?

Structured representation of the environment

Low cost

Increased processing speed

2 / 40

What is a limitation of using Voronoi diagrams for path planning?

Handling dynamic environments

Low computational speed

High memory usage

3 / 40

Which method is used for path planning with continuous state and action spaces?

RRT* (RRT-star)

Backpropagation

PID control

4 / 40

What is a challenge in path planning when navigating complex terrains?

Dealing with uncertainty in sensor data

Increasing robot speed

Reducing sensor weight

5 / 40

Which technique is effective for path planning with non-holonomic constraints?

A* algorithm

Dubins paths

PID algorithm

6 / 40

Which method is suitable for path planning in GPS-denied environments?

Vision-based methods

Probabilistic roadmaps (PRMs)

SLAM (Simultaneous Localization and Mapping)

7 / 40

What is the term for adjusting the robot's path based on real-time feedback?

Static planning

Reactive planning

Open-loop control

8 / 40

What is the purpose of potential field methods in path planning?

Increasing robot speed

Navigating around obstacles based on attractive and repulsive forces

Reducing sensor noise

9 / 40

Which approach is used for path planning in 3D environments?

GPS navigation

Voxel-based methods

Grid-based methods

10 / 40

What is the term for adjusting the planned path based on real-time sensor data?

Open-loop control

Offline planning

Online planning

11 / 40

What is a limitation of using Dijkstra's algorithm for path planning?

High memory usage

Limited sensor range

Low computational speed

12 / 40

Which technique is used for path planning with multiple robots?

GPS navigation

Single-agent path planning

Multi-agent path planning

13 / 40

Which algorithm is suitable for path planning in high-dimensional spaces?

Kinematic model

Proportional control

RRT (Rapidly-exploring Random Tree)

14 / 40

What is a challenge in path planning when dealing with dynamic obstacles?

Real-time updates of the planned path

Increasing robot speed

Reducing sensor weight

15 / 40

What is the role of collision detection in path planning?

Increasing robot speed

Avoiding obstacles along the planned path

Reducing sensor weight

16 / 40

What is a challenge in path planning when the environment is unknown?

Exploration and mapping

Reducing sensor weight

Increasing battery life

17 / 40

Which approach is used for path planning in cluttered environments?

GPS navigation

Sampling-based methods

Vision-based methods

18 / 40

What is a challenge in path planning when aiming for energy-efficient paths?

Reducing sensor weight

Balancing efficiency and computational complexity

Increasing robot speed

19 / 40

What is a limitation of using LIDAR for path planning?

Limited range perception

Low accuracy

High cost

20 / 40

Which algorithm is suitable for path planning in cluttered indoor environments?

Potential field methods

Backpropagation

Proportional control

21 / 40

Which algorithm is used for path planning with uncertain and noisy sensor data?

Monte Carlo Localization (MCL)

RRT (Rapidly-exploring Random Tree)

Kalman Filter

22 / 40

Which method is used for path planning with time-varying constraints?

PID algorithm

A* algorithm

Trajectory optimization

23 / 40

What is the benefit of using spline interpolation in path planning?

Smooth trajectory generation

Low sensor accuracy

High computational load

24 / 40

Which technique is suitable for real-time path planning in dynamic environments?

Open-loop control

Static planning

Receding horizon control

25 / 40

Which algorithm is commonly used for grid-based path planning?

A* algorithm

Backpropagation

PID algorithm

26 / 40

What is the primary goal of dynamic path planning algorithms?

Enhancing physical strength

Increasing battery life

Responding to changes in the environment

27 / 40

Which approach is used for online path planning in changing environments?

Static planning

Open-loop control

Reactive planning

28 / 40

Which algorithm is effective for path planning in large-scale environments?

Backpropagation

D* algorithm

Kinematic model

29 / 40

Which method is suitable for path planning in GPS-challenged urban environments?

Vision-based methods

SLAM (Simultaneous Localization and Mapping)

Probabilistic roadmaps (PRMs)

30 / 40

What is the term for optimizing paths based on cost functions?

Optimal control

Static planning

Heuristic search

31 / 40

What is robot path planning?

Enhancing battery life

Increasing the robot's speed

Determining the optimal path for a robot from start to goal

32 / 40

What is the benefit of using visibility graph methods for path planning?

Low sensor accuracy

High computational load

Efficient computation of paths

33 / 40

What is the primary advantage of using probabilistic roadmaps (PRMs) for path planning?

Handling complex environments

Increased processing speed

Low cost

34 / 40

Which technique is used for path planning in unknown terrains?

Exploration and mapping

PID algorithm

A* algorithm

35 / 40

What is the role of machine learning in path planning?

Learning from past experiences to improve planning

Reducing sensor weight

Increasing battery life

36 / 40

Which method is used for path planning with uncertain environmental information?

A* algorithm

Deterministic planning

Robust planning

37 / 40

What is the primary goal of trajectory optimization in path planning?

Enhancing physical strength

Increasing battery life

Smoothing the robot's path for efficiency

38 / 40

What is a benefit of using trajectory generation in path planning?

Increasing battery life

Reducing sensor weight

Handling dynamic obstacles

39 / 40

What is a benefit of using sampling-based methods for path planning?

Increasing battery life

Handling high-dimensional configuration spaces

Reducing sensor weight

40 / 40

What is the role of heuristic functions in informed search algorithms?

Estimating the cost to reach the goal

Increasing robot speed

Reducing sensor weight

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Computer MCQs 360June 16, 2024

0 44 1 minute read