Robot Path Planning MCQs With Answers

Computer MCQs 360June 16, 2024

0 21 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 limitation of using Dijkstra's algorithm for path planning?

Limited sensor range

High memory usage

Low computational speed

2 / 40

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

Real-time updates of the planned path

Reducing sensor weight

Increasing robot speed

3 / 40

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

Online planning

Offline planning

Open-loop control

4 / 40

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

Probabilistic roadmaps (PRMs)

Vision-based methods

SLAM (Simultaneous Localization and Mapping)

5 / 40

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

Static planning

Open-loop control

Receding horizon control

6 / 40

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

Efficient computation of paths

Low sensor accuracy

High computational load

7 / 40

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

Increasing robot speed

Reducing sensor weight

Estimating the cost to reach the goal

8 / 40

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

Optimal control

Heuristic search

Static planning

9 / 40

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

Static planning

Reactive planning

Open-loop control

10 / 40

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

Probabilistic roadmaps (PRMs)

Vision-based methods

SLAM (Simultaneous Localization and Mapping)

11 / 40

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

Proportional control

Backpropagation

Potential field methods

12 / 40

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

Low computational speed

High memory usage

Handling dynamic environments

13 / 40

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

Grid-based methods

Voxel-based methods

GPS navigation

14 / 40

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

Increasing battery life

Reducing sensor weight

Exploration and mapping

15 / 40

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

Deterministic planning

A* algorithm

Robust planning

16 / 40

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

Increased processing speed

Low cost

Handling complex environments

17 / 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)

18 / 40

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

Static planning

Open-loop control

Reactive planning

19 / 40

Which technique is used for path planning with multiple robots?

Single-agent path planning

Multi-agent path planning

GPS navigation

20 / 40

What is the role of machine learning in path planning?

Increasing battery life

Learning from past experiences to improve planning

Reducing sensor weight

21 / 40

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

Proportional control

RRT (Rapidly-exploring Random Tree)

Kinematic model

22 / 40

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

Kinematic model

Backpropagation

D* algorithm

23 / 40

What is the role of collision detection in path planning?

Increasing robot speed

Reducing sensor weight

Avoiding obstacles along the planned path

24 / 40

What is robot path planning?

Determining the optimal path for a robot from start to goal

Enhancing battery life

Increasing the robot's speed

25 / 40

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

Backpropagation

A* algorithm

PID algorithm

26 / 40

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

PID algorithm

Trajectory optimization

A* algorithm

27 / 40

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

High computational load

Smooth trajectory generation

Low sensor accuracy

28 / 40

Which approach is used for path planning in cluttered environments?

GPS navigation

Vision-based methods

Sampling-based methods

29 / 40

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

Structured representation of the environment

Increased processing speed

Low cost

30 / 40

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

Reducing sensor weight

Increasing battery life

Handling dynamic obstacles

31 / 40

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

PID algorithm

Dubins paths

A* algorithm

32 / 40

What is a limitation of using LIDAR for path planning?

High cost

Low accuracy

Limited range perception

33 / 40

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

Handling high-dimensional configuration spaces

Reducing sensor weight

Increasing battery life

34 / 40

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

Navigating around obstacles based on attractive and repulsive forces

Reducing sensor noise

Increasing robot speed

35 / 40

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

Increasing robot speed

Dealing with uncertainty in sensor data

Reducing sensor weight

36 / 40

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

Enhancing physical strength

Smoothing the robot's path for efficiency

Increasing battery life

37 / 40

Which technique is used for path planning in unknown terrains?

A* algorithm

Exploration and mapping

PID algorithm

38 / 40

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

RRT* (RRT-star)

Backpropagation

PID control

39 / 40

What is the primary goal of dynamic path planning algorithms?

Responding to changes in the environment

Enhancing physical strength

Increasing battery life

40 / 40

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

Reducing sensor weight

Increasing robot speed

Balancing efficiency and computational complexity

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Computer MCQs 360June 16, 2024

0 21 1 minute read