ONLINE DOCUMENTATION AND DIAGNOSTIC SYSTEM FOR THE BEARCAT CUB
The Center for Robotics Research at the University of Cincinnati has been developing autonomous vehicles since its establishment in 1983.The robot team competes every year in the "International Ground Vehicles Competition" conducted by the Association for Unmanned Vehicle Systems. The robot team consists of undergraduate, graduate, post-graduate students and alumni. The team also recruits new members every year. The design process is a joint effort by members from various disciplines. . The latest robot being developed by the team is the Bearcat Cub. The design of the Cub is based on the Bearcat Brat but a lot of new functionality and components have been added to the design. Some of the new components include an Ethernet based motion controller, Bumblebee stereovision system and a Honda generator as the power source. The source code is being created on the .Net platform using C++ as the programming language.It is imperative that information about the Cub, its components, code and design is available to the team members for better understanding of the whole design process. To succeed in its goals, members of the team must share not only data but also interpretations, analysis and their conclusions of that data. The objective of this thesis is to create a secure online documentation and diagnostics system for the Bearcat Cub, which will allow the members to refer to information about components, understand the source code and record their observations in the diagnostic system. The online system was developed on the Visual.Net platform using ASP.Net as the framework and VB.Net as the coding language. The database was created using MS Access and is stored on a Windows SQL2000 server. The source code for the Cub is also being developed on the same platform, which will allow for integration of the two systems in future. The diagnostic system was tested successfully by adding error details and subsequent solutions to the database. This system should be very helpful to the team members for securely accessing and altering information from a remote location.
School:University of Cincinnati
School Location:USA - Ohio
Source Type:Master's Thesis
Keywords:autonomous vehicle diagnostic system
Date of Publication:01/01/2004