Robot Path Planning MCQs With Answers

Computer MCQs 360June 16, 2024

0 18 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 challenge in path planning when navigating complex terrains?

Increasing robot speed

Dealing with uncertainty in sensor data

Reducing sensor weight

2 / 40

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

High computational load

Low sensor accuracy

Smooth trajectory generation

3 / 40

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

Static planning

Receding horizon control

Open-loop control

4 / 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

5 / 40

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

Increasing robot speed

Estimating the cost to reach the goal

Reducing sensor weight

6 / 40

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

High memory usage

Handling dynamic environments

Low computational speed

7 / 40

What is the role of machine learning in path planning?

Reducing sensor weight

Increasing battery life

Learning from past experiences to improve planning

8 / 40

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

Reducing sensor weight

Increasing battery life

Handling dynamic obstacles

9 / 40

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

High computational load

Efficient computation of paths

Low sensor accuracy

10 / 40

What is the primary goal of dynamic path planning algorithms?

Increasing battery life

Responding to changes in the environment

Enhancing physical strength

11 / 40

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

Static planning

Reactive planning

Open-loop control

12 / 40

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

Open-loop control

Reactive planning

Static planning

13 / 40

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

GPS navigation

Grid-based methods

Voxel-based methods

14 / 40

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

RRT* (RRT-star)

Backpropagation

PID control

15 / 40

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

Kinematic model

Proportional control

RRT (Rapidly-exploring Random Tree)

16 / 40

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

SLAM (Simultaneous Localization and Mapping)

Probabilistic roadmaps (PRMs)

Vision-based methods

17 / 40

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

Increasing robot speed

Real-time updates of the planned path

Reducing sensor weight

18 / 40

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

Reducing sensor weight

Handling high-dimensional configuration spaces

Increasing battery life

19 / 40

Which technique is used for path planning with multiple robots?

GPS navigation

Single-agent path planning

Multi-agent path planning

20 / 40

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

Limited sensor range

Low computational speed

High memory usage

21 / 40

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

Handling complex environments

Low cost

Increased processing speed

22 / 40

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

Smoothing the robot's path for efficiency

Increasing battery life

Enhancing physical strength

23 / 40

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

Kalman Filter

RRT (Rapidly-exploring Random Tree)

Monte Carlo Localization (MCL)

24 / 40

What is the role of collision detection in path planning?

Increasing robot speed

Reducing sensor weight

Avoiding obstacles along the planned path

25 / 40

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

Vision-based methods

Probabilistic roadmaps (PRMs)

SLAM (Simultaneous Localization and Mapping)

26 / 40

What is robot path planning?

Enhancing battery life

Determining the optimal path for a robot from start to goal

Increasing the robot's speed

27 / 40

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

Proportional control

Potential field methods

Backpropagation

28 / 40

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

Balancing efficiency and computational complexity

Reducing sensor weight

Increasing robot speed

29 / 40

Which approach is used for path planning in cluttered environments?

Sampling-based methods

GPS navigation

Vision-based methods

30 / 40

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

Dubins paths

A* algorithm

PID algorithm

31 / 40

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

Backpropagation

Kinematic model

D* algorithm

32 / 40

Which technique is used for path planning in unknown terrains?

A* algorithm

Exploration and mapping

PID algorithm

33 / 40

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

Structured representation of the environment

Low cost

Increased processing speed

34 / 40

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

Offline planning

Online planning

Open-loop control

35 / 40

What is a limitation of using LIDAR for path planning?

High cost

Low accuracy

Limited range perception

36 / 40

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

A* algorithm

Robust planning

Deterministic planning

37 / 40

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

Trajectory optimization

A* algorithm

PID algorithm

38 / 40

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

Static planning

Optimal control

Heuristic search

39 / 40

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

Reducing sensor weight

Exploration and mapping

Increasing battery life

40 / 40

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

A* algorithm

Backpropagation

PID algorithm

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Computer MCQs 360June 16, 2024

0 18 1 minute read