Jekyll2021-08-05T21:37:17+00:00https://autorally.github.io/feed.xmlAutoRally platform project websiteAutoRally Robotbgoldfain3@gatech.edu2018-06-30T00:00:00+00:002018-06-30T00:00:00+00:00https://autorally.github.io/rss<p>Results collected using AutoRally at Georgia Tech were presented at RSS 2018 in Pittsburgh that demonstrate robust MPC on our larger track, and an end-to-end imitation learning approach.</p> <p>“Agile Autonomous Driving using End-to-End Deep Imitation Learning.” Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, and Byron Boots. (Best Systems Paper finalist at RSS).</p> <iframe width="1280" height="720" src="https://www.youtube.com/embed/FsRP4rEYiLI" frameborder="0"></iframe> <p>“Robust Sampling Based Model Predictive Control with Sparse Objective Information.” Grady Williams, Brian Goldfain, Paul Drews, Kamil Saigol, James M. Rehg, and Evangelos A. Theodorou.</p> <iframe width="1280" height="720" src="https://www.youtube.com/embed/32v-e3dptjo" frameborder="0"></iframe>AutoRally Robotbgoldfain3@gatech.edu

RSS 2018 Papers and Videos

2018-06-16T00:00:00+00:002018-06-16T00:00:00+00:00https://autorally.github.io/icra<p>Results collected using AutoRally at Georgia Tech were presented at ICRA 2018 in Brisbane that demonstrate two-vehicle coorperative driving.</p> <p>“Best Response Model Predictive Control for Agile Interactions Between Autonomous Ground Vehicles.” Grady Williams, Brian Goldfain, Paul Drews, James M. Rehg, and Evangelos A. Theodorou.</p> <iframe width="1280" height="720" src="https://www.youtube.com/embed/IEXOmSZwCcA" frameborder="0"></iframe>AutoRally Robotbgoldfain3@gatech.edu

ICRA 2018 Paper and Video

2017-05-25T00:00:00+00:002017-05-25T00:00:00+00:00https://autorally.github.io/icra-2017<p>A video summarizing experimental results collected on the AutoRally platform at the Georgia Tech Autonomous Racing Facility for our ICRA 2017 publication Information Theoretic MPC for Model-Based Reinforcement Learning is avaialble.</p> <iframe width="1280" height="720" src="https://www.youtube.com/embed/f2at-cqaJMM" frameborder="0"></iframe>AutoRally Robotbgoldfain3@gatech.edu

Our new video for information theoretic MPPI is avaialble

2017-03-13T00:00:00+00:002017-03-13T00:00:00+00:00https://autorally.github.io/autorally-documentation-v1_3-release<p><img src="https://AutoRally.github.io/images/v1.3.jpg" alt="im" /></p> <p>Version 1.3 of our AutoRally platform documentation is now available on the <a href="https://github.com/AutoRally/autorally_platform_instructions">platform instructions repository</a>. This release is incremental and includes:</p> <ul> <li>Cleanup and streamline of Chasis Instructions, Compute Box Instructions, Operating Procedures</li> <li>Parts list cleanup</li> <li>A few wiring diagram fixes and updates</li> <li>New .stl and .dxf files for front brake master cylindar and servo mount to be attached where pull start from gasoline engine was located.</li> </ul> <p>Please contact us by email or opening a GitHub issue if you have questions or comments regarding the documentation.</p> <figure class="third full"> <a href="https://autorally.github.io/chassisCover.jpg" title="Chassis"> <img src="https://autorally.github.io/chassisCover.jpg" alt="AutoRally chassis" /> </a> <a href="https://autorally.github.io/computeBoxExterior.jpg" title="Compute box, front view"> <img src="https://autorally.github.io/computeBoxExterior.jpg" alt="AutoRally Mini-ITX compute box front" /> </a> <a href="https://autorally.github.io/computeBoxExteriorBack.jpg" title="Compute box, back view"> <img src="https://autorally.github.io/computeBoxExteriorBack.jpg" alt="AutoRally Mini-ITX compute box back" /> </a> <figcaption>AutoRally platform v1.3 </figcaption> </figure>AutoRally Robotbgoldfain3@gatech.edu

Improvements and minor updates to AutoRally Platform documentation

2016-08-01T00:00:00+00:002016-08-01T00:00:00+00:00https://autorally.github.io/autorally-documentation-release<p><img src="https://AutoRally.github.io/images/croppedPlatform.jpg" alt="im" /></p> <p>We’re excited to announce the release of AutoRally platform documentation v1.1 available on our <a href="https://github.com/AutoRally/autorally_platform_instructions">platform instructions repository</a>. This release includes everything you need to build your own AutoRally chassis:</p> <ul> <li>Autorally chassis and Mini-ITX compute box instruction documents</li> <li>Operating procedures document</li> <li>Complete parts list</li> <li>Wiring diagrams</li> <li>.stl files for 3D printing</li> <li>.dxf files for fabricating parts.</li> </ul> <p>Send us pictures of the AutoRally platforms you build to be featured on our website!</p> <p>Please contact us if you have any questions or comments about the documentation.</p> <figure class="third full"> <a href="https://autorally.github.io/chassisCover.jpg" title="Chassis"> <img src="https://autorally.github.io/chassisCover.jpg" alt="AutoRally chassis" /> </a> <a href="https://autorally.github.io/computeBoxExterior.jpg" title="Compute box, front view"> <img src="https://autorally.github.io/computeBoxExterior.jpg" alt="AutoRally Mini-ITX compute box front" /> </a> <a href="https://autorally.github.io/computeBoxExteriorBack.jpg" title="Compute box, back view"> <img src="https://autorally.github.io/computeBoxExteriorBack.jpg" alt="AutoRally Mini-ITX compute box back" /> </a> <figcaption>AutoRally platform v1.1 </figcaption> </figure>AutoRally Robotbgoldfain3@gatech.edu

Complete build instructions and all supporting files are publicly available!

2016-05-15T00:00:00+00:002016-05-15T00:00:00+00:00https://autorally.github.io/mppi-video<p>We released a video of experimental results and explanation of the MPPI algorithm running on the AutoRally platform at the Georgia Tech Autonomous Racing Facility.</p> <iframe width="1280" height="720" src="https://www.youtube.com/embed/1AR2-OHCxsQ" frameborder="0"></iframe>AutoRally Robotbgoldfain3@gatech.edu

Experimental results and explanation of the MPPI algorithm on the AutoRally platform

2016-05-10T00:00:00+00:002016-05-10T00:00:00+00:00https://autorally.github.io/icra-2016-trailer<p>Results on the platform from our ICRA 2016 publication were included in one of the trailer videos.</p> <p>“Aggressive Driving with Model Predictive Path Integral Control.” Grady Williams, Paul Drews, Brian Goldfain, James Rehg, and Evangelos A. Theodorou.</p> <iframe width="1280" height="720" src="https://www.youtube.com/embed/xHqm2TDeRqg" frameborder="0"></iframe>AutoRally Robotbgoldfain3@gatech.edu

ICRA 2016 publication results were included in a highlights video.