2016 first robotics labview vision help
- #2016 FIRST ROBOTICS LABVIEW VISION HELP SOFTWARE#
- #2016 FIRST ROBOTICS LABVIEW VISION HELP WINDOWS#
“With LabVIEW, the team implemented parallel processing of high-end vision algorithms running on two quad-core servers that perform the primary perception in our vehicle. This project investigates the use of the NI FPGA/LabView platform for autonomous vehicles. “This exceptional team of Virginia Tech graduate and undergraduate students has been a true joy to work with, as they share the same passion for robotics as TORC,” said Michael Fleming, president of TORC Technologies. In 2016, the competition focuses on the theme Hospital of the future where team robots will have to complete tasks such as navigating to different rooms in a hospital setting to deliver medicine while avoiding various obstacles. The team integrated an NI touch panel with the vehicle dashboard to select appropriate modes of operation.
#2016 FIRST ROBOTICS LABVIEW VISION HELP WINDOWS#
LabVIEW running on a separate Microsoft Windows Server performed image processing and path planning. NI is proud to offer technologies for applications in this exciting and growing field of mobile robotics.”Īs part of the competition, TORC Technologies created a set of LabVIEW tools for Joint Architecture for Unmanned Systems (JAUS), an autonomous ground vehicle standard for passing messages and status information between various vehicle subsystems. “Team Victor Tango is a great example of how domain experts, rather than computer scientists, use NI LabVIEW graphical system design to quickly design, prototype and deploy sophisticated robotic designs. “National Instruments congratulates team Victor Tango on its remarkable achievement,” said Ray Almgren, NI vice president of academic relations. Virginia Tech’s team, Victor Tango, was one of only six robotic teams to finish the 55-mile DARPA Urban Challenge course.
#2016 FIRST ROBOTICS LABVIEW VISION HELP SOFTWARE#
In a close race with teams from Carnegie Mellon and Stanford universities, the Virginia Tech team used National Instruments LabVIEW software and CompactRIO hardware in its vehicle. Virginia Tech, along with TORC Technologies, won the $500,000 third place prize last weekend at the Defense Advanced Research Projects Agency (DARPA) Urban Challenge. This time with an impressive finish by Virginia Tech team Victor Tango and their vehicle named Odin. It's great to see LabVIEW once again at the forefront of autonomous robotics.