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 the benefit of using visibility graph methods for path planning?

Efficient computation of paths

Low sensor accuracy

High computational load

2 / 40

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

Limited sensor range

Low computational speed

High memory usage

3 / 40

What is robot path planning?

Determining the optimal path for a robot from start to goal

Increasing the robot's speed

Enhancing battery life

4 / 40

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

Reactive planning

Static planning

Open-loop control

5 / 40

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

Increasing robot speed

Reducing sensor noise

Navigating around obstacles based on attractive and repulsive forces

6 / 40

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

Dealing with uncertainty in sensor data

Increasing robot speed

Reducing sensor weight

7 / 40

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

Voxel-based methods

Grid-based methods

GPS navigation

8 / 40

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

Smoothing the robot's path for efficiency

Enhancing physical strength

Increasing battery life

9 / 40

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

Backpropagation

D* algorithm

Kinematic model

10 / 40

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

Low cost

Structured representation of the environment

Increased processing speed

11 / 40

What is the role of collision detection in path planning?

Reducing sensor weight

Increasing robot speed

Avoiding obstacles along the planned path

12 / 40

Which approach is used for path planning in cluttered environments?

Vision-based methods

Sampling-based methods

GPS navigation

13 / 40

Which technique is used for path planning with multiple robots?

Multi-agent path planning

GPS navigation

Single-agent path planning

14 / 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

15 / 40

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

Proportional control

Potential field methods

Backpropagation

16 / 40

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

High memory usage

Handling dynamic environments

Low computational speed

17 / 40

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

Low cost

Handling complex environments

Increased processing speed

18 / 40

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

Increasing battery life

Reducing sensor weight

Exploration and mapping

19 / 40

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

Static planning

Open-loop control

Reactive planning

20 / 40

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

PID control

RRT* (RRT-star)

Backpropagation

21 / 40

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

Open-loop control

Receding horizon control

Static planning

22 / 40

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

Static planning

Heuristic search

Optimal control

23 / 40

What is a limitation of using LIDAR for path planning?

High cost

Low accuracy

Limited range perception

24 / 40

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

Vision-based methods

Probabilistic roadmaps (PRMs)

SLAM (Simultaneous Localization and Mapping)

25 / 40

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

Deterministic planning

A* algorithm

Robust planning

26 / 40

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

Reducing sensor weight

Increasing battery life

Handling high-dimensional configuration spaces

27 / 40

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

Kinematic model

RRT (Rapidly-exploring Random Tree)

Proportional control

28 / 40

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

Backpropagation

A* algorithm

PID algorithm

29 / 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

30 / 40

Which technique is used for path planning in unknown terrains?

A* algorithm

PID algorithm

Exploration and mapping

31 / 40

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

Reducing sensor weight

Estimating the cost to reach the goal

Increasing robot speed

32 / 40

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

Probabilistic roadmaps (PRMs)

Vision-based methods

SLAM (Simultaneous Localization and Mapping)

33 / 40

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

RRT (Rapidly-exploring Random Tree)

Kalman Filter

Monte Carlo Localization (MCL)

34 / 40

What is the role of machine learning in path planning?

Learning from past experiences to improve planning

Reducing sensor weight

Increasing battery life

35 / 40

What is the primary goal of dynamic path planning algorithms?

Increasing battery life

Responding to changes in the environment

Enhancing physical strength

36 / 40

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

Smooth trajectory generation

Low sensor accuracy

High computational load

37 / 40

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

Increasing battery life

Reducing sensor weight

Handling dynamic obstacles

38 / 40

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

A* algorithm

Dubins paths

PID algorithm

39 / 40

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

Open-loop control

Online planning

Offline planning

40 / 40

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

Trajectory optimization

A* algorithm

PID algorithm

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Computer MCQs 360June 16, 2024

0 44 1 minute read