logo Use CA10RAM to get 10%* Discount.
Order Nowlogo
(5/5)

A. Describe the disaster recovery environment you chose and the two obstacles you have added to the environment.

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

It’s a pass or fail written assessment there is a rubric in the file please make sure everything matches the competent section of the rubric

 

 DISASTER RELIEF ROBOT

INTRODUCTION TO ARTIFICIAL INTELLIGENCE —

 

COMPETENCIES

 

4036.2.1 : Reasoning, Knowledge Representation, Uncertainty, and Intelligence

The graduate analyzes the relationships and rules pertaining to intelligence within systems.

4036.2.2 : Search Strategies for Optimization

The graduate distinguishes among search strategies to fit specific data-oriented problems.

4036.2.3 : Agents

The graduate implements basic intelligent agent technology in order to automate services.

4036.3.1 : Robotics

The graduate writes code to enable robots to execute simple tasks.

INTRODUCTION

 

Real-time search-and-rescue robots are increasingly used to supplement the efforts of the first responders in areas affected by natural disasters. They are used to spot-check the situational awareness of people in distress, survey the extent of flood or tornado damage, evaluate the number of people that had not been evacuated from their neighborhoods, clean debris, and create passable routes.

 

For this task, you will use the Coppelia Robotics virtual robot and its environment to demonstrate how such robots may be used in disaster recovery. Your first step is to familiarize yourself with this technology by reviewing the information in the “Coppelia Robotics Resources Page” and “CoppeliaSim User Manual” provided in the Web Links section.

 

For the next step, you will thoroughly describe a disaster situation similar to the ones mentioned above. Next, you will create a virtual prototype of an autonomous robotic recovery system that demonstrates goal-seeking behaviors in navigating through a predefined area. The robotic recovery system will solve a disaster recovery problem of your choice by using the Coppelia Robotics BubbleRob and its environment as the starting point of your prototyping. You will also add sensors to the robot. These sensors will collect vital information to aid in the disaster recovery effort for the scenario you described.

REQUIREMENTS

 

Your submission must be your original work. No more than a combined total of 30% of the submission and no more than a 10% match to any one individual source can be directly quoted or closely paraphrased from sources, even if cited correctly. The similarity report that is provided when you submit your task can be used as a guide.

 

You must use the rubric to direct the creation of your submission because it provides detailed criteria that will be used to evaluate your work. Each requirement below may be evaluated by more than one rubric aspect. The rubric aspect titles may contain hyperlinks to relevant portions of the course.

 

Tasks may not be submitted as cloud links, such as links to Google Docs, Google Slides, OneDrive, etc., unless specified in the task requirements. All other submissions must be file types that are uploaded and submitted as attachments (e.g., .docx, .pdf, .ppt).

 

Using the CoppeliaSim virtual robot, create a virtual prototype of an autonomous robotic recovery system that demonstrates goal-seeking behaviors in navigating through a predefined area by doing the following: 

 

A.  Describe the disaster recovery environment you chose and the two obstacles you have added to the environment. 

 

B.  Explain how the robot will improve disaster recovery in the environment from part A after you have added the two obstacles from part A. 

 

C.  Justify the modifications you made to CoppeliaSim’s robot architecture, including two sensors you chose to add, and explain how these sensors will aid the disaster recovery effort. 

 

D.  Describe how the robot maintains an internal representation of the environment. 

 

E.  Explain how the robot implements the following four concepts to achieve its goal: 

•   reasoning 

•   knowledge representation 

•   uncertainty 

•   intelligence 

 

F.  Explain how the prototype could be further improved, including how reinforced learning and advanced search algorithms can improve the prototype’s performance and learning. 

 

G.  Submit the robot code that you created. 

 

H.  Provide a Panopto video recording that describes the robot and demonstrates its functionalities to stakeholders who are nonpractitioners and include each of the following: 

•   a statement of the disaster recovery problem 

•   a summary of the environment and the obstacles 

•   a summary of the robot’s goal and objectives 

•   a description of the robot and its architecture 

•   a demonstration of how the robot meets its disaster recovery goals 

•   an assessment of the robot’s capabilities 

•   an explanation of how to improve the prototype 

 

Note: For instructions on how to access and use Panopto, use the "Panopto How-To Videos" web link provided below. To access Panopto's website, navigate to the web link titled "Panopto Access," and then choose to log in using the “WGU” option. If prompted, log in using your WGU student portal credentials, and then it will forward you to Panopto’s website. 

 

To submit your recording, upload it to the Panopto drop box titled “INTRODUCTION TO ARTIFICIAL INTELLIGENCE – NIP2 Task 2 | C951.” Once the recording has been uploaded and processed in Panopto's system, retrieve the URL of the recording from Panopto and copy and paste it into the Links option. Upload the remaining task requirements using the Attachments option. 

 

I.  Acknowledge sources, using in-text citations and references, for content that is quoted, paraphrased, or summarized. 

 

J.  Demonstrate professional communication in the content and presentation of your submission. 

File Restrictions

File name may contain only letters, numbers, spaces, and these symbols: ! - _ . * ' ( )

File size limit: 200 MB

File types allowed: doc, docx, rtf, xls, xlsx, ppt, pptx, odt, pdf, txt, qt, mov, mpg, avi, mp3, wav, mp4, wma, flv, asf, mpeg, wmv, m4v, svg, tif, tiff, jpeg, jpg, gif, png, zip, rar, tar, 7z

RUBRIC

 

A:DISASTER ENVIRONMENT

NOT EVIDENT

A description of the chosen disaster recovery environment is not provided. APPROACHING COMPETENCE

The submission inaccurately describes the chosen disaster recovery environment but does not include 1 or both of the additional obstacles. Or the information provided contains inaccuracies. COMPETENT

The submission accurately describes the chosen disaster recovery environment with 2 additional obstacles.

B:IMPROVED DISASTER RECOVERY

NOT EVIDENT

A submission explaining how the robot will improve disaster recovery is not provided. APPROACHING COMPETENCE

The submission inaccurately explains how the robot will improve disaster recovery in the environment from part A after the 2 additional obstacles are added. COMPETENT

The submission accurately explains how the robot will improve disaster recovery in the environment from part A after the 2 obstacles are added.

C:ARCHITECTURE

NOT EVIDENT

A submission justifying the modifications made to the robot’s architecture is not provided. APPROACHING COMPETENCE

The submission inaccurately justifies the modifications made to the robot’s architecture, or it does not include 1 or both sensors added to the architecture. Or the submission inaccurately explains how the additional sensors will aid the disaster recovery effort. COMPETENT

The submission accurately justifies the modifications made to the robot’s architecture, including both added sensors. The submission accurately explains how the additional sensors will aid the disaster recovery effort.

D:INTERNAL REPRESENTATION OF THE ENVIRONMENT

NOT EVIDENT

A submission describing how the robot maintains an internal representation of the environment is not provided. APPROACHING COMPETENCE

The submission inaccurately describes how the robot maintains an internal representation of the environment. COMPETENT

The submission accurately describes how the robot maintains an internal representation of the environment.

E:REASONING, KNOWLEDGE REPRESENTATION, UNCERTAINTY, AND INTELLIGENCE

NOT EVIDENT

A submission explaining how the robot implements the 4 given concepts is not provided. APPROACHING COMPETENCE

The submission does not accurately or logically explain how the robot implements 1 or more of the 4 given concepts to achieve its goal. COMPETENT

The submission accurately and logically explains how the robot implements each of the 4 given concepts to achieve its goal.

F:FURTHER IMPROVEMENTS

NOT EVIDENT

A submission explaining how the prototype could be further improved is not provided. APPROACHING COMPETENCE

The submission illogically or inaccurately explains how the prototype could be further improved, or it does not explain how reinforced learning or advanced search algorithms can improve the prototype’s performance and learning. COMPETENT

The submission logically and accurately explains how the prototype could be further improved, and it explains how both reinforced learning and advanced search algorithms can improve the prototype’s performance and learning.

G:ROBOT CODE

NOT EVIDENT

A robot code is not submitted. APPROACHING COMPETENCE

The robot code submitted is incomplete or inaccurate, or both. COMPETENT

The robot code submitted is both accurate and complete.

H:PANOPTO RECORDING

NOT EVIDENT

A Panopto recording describing the robot is not provided. APPROACHING COMPETENCE

The Panopto video recording does not demonstrate the robot’s functionalities in a way that stakeholders who are nonpractitioners would understand. Or the video recording does not include 1 or more of the 7 required segments. COMPETENT

The Panopto video recording demonstrates the robot’s functionalities to stakeholders who are nonpractitioners in a way they would understand, and the video recording includes all 7 of the required segments.

I:sources

NOT EVIDENT

The submission does not include both in-text citations and a reference list for sources that are quoted, paraphrased, or summarized. APPROACHING COMPETENCE

The submission includes in-text citations for sources that are quoted, paraphrased, or summarized and a reference list; however, the citations or reference list is incomplete or inaccurate. COMPETENT

The submission includes in-text citations for sources that are properly quoted, paraphrased, or summarized and a reference list that accurately identifies the author, date, title, and source location as available.

J:professional communication

NOT EVIDENT

Content is unstructured, is disjointed, or contains pervasive errors in mechanics, usage, or grammar. Vocabulary or tone is unprofessional or distracts from the topic. APPROACHING COMPETENCE

Content is poorly organized, is difficult to follow, or contains errors in mechanics, usage, or grammar that cause confusion. Terminology is misused or ineffective. COMPETENT

Content reflects attention to detail, is organized, and focuses on the main ideas as prescribed in the task or chosen by the candidate. Terminology is pertinent, is used correctly, and effectively conveys the intended meaning. Mechanics, usage, and grammar promote accurate interpretation and understanding.

WEB LINKS

 

CoppeliaSim User Manual

Coppelia Robotics Resources Page

 

(5/5)
Attachments:

Expert's Answer

1268 Times Downloaded

Related Questions

. Introgramming & Unix Fall 2018, CRN 44882, Oakland University Homework Assignment 6 - Using Arrays and Functions in C

DescriptionIn this final assignment, the students will demonstrate their ability to apply two ma

. The standard path finding involves finding the (shortest) path from an origin to a destination, typically on a map. This is an

Path finding involves finding a path from A to B. Typically we want the path to have certain properties,such as being the shortest or to avoid going t

. Develop a program to emulate a purchase transaction at a retail store. This program will have two classes, a LineItem class and a Transaction class. The LineItem class will represent an individual

Develop a program to emulate a purchase transaction at a retail store. Thisprogram will have two classes, a LineItem class and a Transaction class. Th

. SeaPort Project series For this set of projects for the course, we wish to simulate some of the aspects of a number of Sea Ports. Here are the classes and their instance variables we wish to define:

1 Project 1 Introduction - the SeaPort Project series For this set of projects for the course, we wish to simulate some of the aspects of a number of

. Project 2 Introduction - the SeaPort Project series For this set of projects for the course, we wish to simulate some of the aspects of a number of Sea Ports. Here are the classes and their instance variables we wish to define:

1 Project 2 Introduction - the SeaPort Project series For this set of projects for the course, we wish to simulate some of the aspects of a number of

1268 Times Downloaded

Ask This Question To Be Solved By Our ExpertsGet A+ Grade Solution Guaranteed

expert
Um e HaniScience

875 Answers

Hire Me
expert
Muhammad Ali HaiderFinance

830 Answers

Hire Me
expert
Husnain SaeedComputer science

790 Answers

Hire Me
expert
Atharva PatilComputer science

729 Answers

Hire Me