INTRODUCTIONREQUIREMENTSRUBRICWEB LINKSCOMPETENCIES4036.2.1 : Reasoning, Kn Leave a reply INTRODUCTIONREQUIREMENTSRUBRICWEB LINKSCOMPETENCIES4036.2.1 : Reasoning, Knowledge Representation, Uncertainty, and IntelligenceThe graduate analyzes the relationships and rules pertaining to intelligence within systems.4036.2.2 : Search Strategies for OptimizationThe graduate distinguishes among search strategies to fit specific data-oriented problems.4036.2.3 : AgentsThe graduate implements basic intelligent agent technology in order to automate services.4036.3.1 : RoboticsThe graduate writes code to enable robots to execute simple tasks.INTRODUCTIONReal-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.REQUIREMENTSYour 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 CoppeliaSims 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 intelligenceF. Explain how the prototype could be further improved, including how reinforced learning and advanced search algorithms can improve the prototypes 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 robots 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 robots capabilities an explanation of how to improve the prototypeNote: For instructions on how to access and use Panopto, use the Panopto How-To Videos web link provided below. To access Panoptos 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 Panoptos 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 Panoptos 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 RestrictionsFile name may contain only letters, numbers, spaces, and these symbols: ! _ . * ( )File size limit: 200 MBFile 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, 7zRUBRICA:DISASTER ENVIRONMENTNOT EVIDENTA description of the chosen disaster recovery environment is not provided.APPROACHING COMPETENCEThe 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.COMPETENTThe submission accurately describes the chosen disaster recovery environment with 2 additional obstacles.B:IMPROVED DISASTER RECOVERYNOT EVIDENTA submission explaining how the robot will improve disaster recovery is not provided.APPROACHING COMPETENCEThe submission inaccurately explains how the robot will improve disaster recovery in the environment from part A after the 2 additional obstacles are added.COMPETENTThe submission accurately explains how the robot will improve disaster recovery in the environment from part A after the 2 obstacles are added.C:ARCHITECTURENOT EVIDENTA submission justifying the modifications made to the robots architecture is not provided.APPROACHING COMPETENCEThe submission inaccurately justifies the modifications made to the robots 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.COMPETENTThe submission accurately justifies the modifications made to the robots architecture, including both added sensors. The submission accurately explains how the additional sensors will aid the disaster recovery effort.D:INTERNAL REPRESENTATION OF THE ENVIRONMENTNOT EVIDENTA submission describing how the robot maintains an internal representation of the environment is not provided.APPROACHING COMPETENCEThe submission inaccurately describes how the robot maintains an internal representation of the environment.COMPETENTThe submission accurately describes how the robot maintains an internal representation of the environment.E:REASONING, KNOWLEDGE REPRESENTATION, UNCERTAINTY, AND INTELLIGENCENOT EVIDENTA submission explaining how the robot implements the 4 given concepts is not provided.APPROACHING COMPETENCEThe submission does not accurately or logically explain how the robot implements 1 or more of the 4 given concepts to achieve its goal.COMPETENTThe submission accurately and logically explains how the robot implements each of the 4 given concepts to achieve its goal.F:FURTHER IMPROVEMENTSNOT EVIDENTA submission explaining how the prototype could be further improved is not provided.APPROACHING COMPETENCEThe 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 prototypes performance and learning.COMPETENTThe 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 prototypes performance and learning.G:ROBOT CODENOT EVIDENTA robot code is not submitted.APPROACHING COMPETENCEThe robot code submitted is incomplete or inaccurate, or both.COMPETENTThe robot code submitted is both accurate and complete.H:PANOPTO RECORDINGNOT EVIDENTA Panopto recording describing the robot is not provided.APPROACHING COMPETENCEThe Panopto video recording does not demonstrate the robots 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.COMPETENTThe Panopto video recording demonstrates the robots functionalities to stakeholders who are nonpractitioners in a way they would understand, and the video recording includes all 7 of the required segments.I:SOURCESNOT EVIDENTThe submission does not include both in-text citations and a reference list for sources that are quoted, paraphrased, or summarized.APPROACHING COMPETENCEThe 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.COMPETENTThe 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 COMMUNICATIONNOT EVIDENTContent is unstructured, is disjointed, or contains pervasive errors in mechanics, usage, or grammar. Vocabulary or tone is unprofessional or distracts from the topic.APPROACHING COMPETENCEContent is poorly organized, is difficult to follow, or contains errors in mechanics, usage, or grammar that cause confusion. Terminology is misused or ineffective.COMPETENTContent 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 LINKSCoppeliaSim User ManualCoppelia Robotics Resources Page This entry was posted in Computer science : Computer Science on December 5, 2021 by .
