CajunBot refers to the autonomous ground vehicles developed by the University of Louisiana at Lafayette for the DARPA Grand Challenges. CajunBot was featured on CNN and on the Discovery Channel science series Robocars. CajunBot's custom AGV software, CBSystem, has artificial intelligence path planning capabilities, as well as visualization and simulation components. The hardware repertoire of CajunBot includes a high grade GPS/INS positioning unit to navigate a designated route while detecting and avoiding obstacles using LIDAR laser-ranging units.
In 2002, DARPA announced the first Grand Challenge: "Build a robotic vehicle able to travel unassisted on a predefined path of about 130 miles through the Mojave Desert. The fastest robot to navigate the course in less than 10 hours will take home $1 million." The first competition was scheduled in March 2004.
After learning of the Challenge in 2003, a small group of UL Lafayette students and professors joined together to see if they could take on the task of designing a completely autonomous vehicle.[1] "GPS Bot" was engineered as a proof-of-concept, using a small remote controlled car coupled with a micro controller and GPS sensor. "GPS Bot" was able to navigate pre-programmed GPS waypoints without any human interaction.
Branding themselves as "Team CajunBot",[2] (UL Lafayette's athletic teams are referred to as the Ragin' Cajuns) the group was able to have the first CajunBot vehicle ready within a few short months.[3] "CajunBot" was built on a 6-wheeled all-terrain vehicle commonly used for hunting in the swamps and marshlands.
Team CajunBot, energized by the tremendous support from the Lafayette community, defied odds and competed successfully in the qualification rounds, earning a place among the 13 teams selected to compete in the finals, out of 106 initial applicants.[4][5]
No team managed to complete the 2004 Grand Challenge course,[5] but DARPA was encouraged by the results. It brought together engineers and inventors and managed to channel their energies into the development of important technologies designed to save American lives on the battlefield.[6]
In 2005 DARPA repeated the Challenge, fielded more than 198 team entries. Team CajunBot, again, successfully passed the qualification rounds and earned a place among 23 teams selected to compete in the finals.
In the 2005 Grand Challenge, history was made as Stanford University's vehicle, Stanley, crossed the finish line after making the 132-mile course in 6 hours and 52 minutes.
As envisioned by DARPA, the 2004 and 2005 Grand Challenges successfully accelerated development of the core technology behind fully autonomous battlefield vehicles. But the technology was hardly battle ready.[7]
Building on the success of previous challenges, DARPA has launched a new competition, dubbed the "Urban Challenge". The event took place in November 2007, set in Victorville, California.
The Urban Challenge required teams "to build a robotic vehicle that can operate in urban traffic, finding its own path while also following traffic rules".
Each team was provided a GPS map of an urban cityscape, simulating military supply missions in an urban setting. Traveling among manned and robotic vehicle traffic, the team vehicles traveled through required points in the mock city. Teams were required to complete the 60-mile course safely in less than six hours.[8]
Team CajunBot was a semi-finalist.[9] being eliminated in the final round of cuts due to an unexpected collision with a roadside vehicle.[10] The team's progress leading up to the challenge was documented in the Discovery Science series Robocars.
CajunBot's custom AGV software, CBSystem, was primarily developed in C++ for use on the Linux operating system.
Capabilities of CBSystem:[15]
On June 2, 2004, Governor Kathleen Babineaux Blanco officially declared Wednesday to be known as "CajunBot day".[19] On this day, the CajunBot vehicle climbed 12 steps of the Louisiana state capital building as Gov. Blanco declared it "an outstanding example of the brainpower we have here in Louisiana and at our universities."[4][20]
"CajunBot - a six-wheeled all-terrain vehicle - will be traveling across 210 miles of desert terrain as part of a challenge set forth by the Defense Advanced Research Projects Agency of the U.S. Department of Defense. Team CajunBot most recently gained national media attention when CNN visited the UL Lafayette campus for a segment on its show Next@CNN."[21]
"CNN producer Marsha Walton said the crew decided on CajunBot as a subject because of its uniqueness and freshness to the contest."[22]
During the 2007 Urban Challenge, CajunBot was one of 10 teams selected to be featured on the Discovery Channel science series "Robocars". The 6-part documentary series chronicled the progress of the teams as they struggled for the $2 million grand prize.[23]
Team CajunBot was featured prominently in the 2nd and 3rd episodes, which aired July 21 & 28 2008, respectively.
Some research papers produced from the CajunBot project:
The content is sourced from: https://handwiki.org/wiki/Engineering:CajunBot