https://bennetoutland.github.io/tags/robotics/RoboticsHugoBlox Kit (https://hugoblox.com)en-usWed, 01 May 2024 00:00:00 +0000https://bennetoutland.github.io/media/icon_hu_da05098ef60dc2e7.pnghttps://bennetoutland.github.io/tags/robotics/https://bennetoutland.github.io/projects/rocker-robotics/Wed, 01 May 2024 00:00:00 +0000https://bennetoutland.github.io/projects/rocker-robotics/<p>Autonomy and Controls Technical Lead (2022–23), then team member (2023–24) for South Dakota Mines&rsquo; entry in the .</p> <p><strong>Results:</strong> Won Rookie of the Year award and placed in the design competition.</p> <p>Technical contributions:</p> <ul> <li>ROS-based sensor integration (LIDAR, GPS, camera)</li> <li>Lane detection via computer vision</li> <li>Path planning with A*</li> <li>Trajectory tracking with Model Predictive Path Integral (MPPI) Control</li> <li>Frontier-based autonomous exploration for course navigation</li> </ul>https://bennetoutland.github.io/projects/trebuchet/Sun, 01 Jan 2023 00:00:00 +0000https://bennetoutland.github.io/projects/trebuchet/<p>Trebuchet design and optimization as part of Rocker Robotics competition activities (2021–2023).</p> <ul> <li>Assisted in trebuchet building and data collection for Rocker Robotics</li> <li>Performed model identification and regression to determine optimal counterweight masses and tang angles</li> </ul>https://bennetoutland.github.io/projects/rocker-national-robotics/Sat, 01 Jan 2022 00:00:00 +0000https://bennetoutland.github.io/projects/rocker-national-robotics/<p>Rocker Robotics entry in the National Robotics Challenge Autonomous Vehicle Challenge (2021–2022).</p> <ul> <li>Competed in the National Robotics Challenge&rsquo;s Autonomous Vehicle Challenge</li> <li>Implemented computer vision techniques to locate key features on the field</li> <li>Created a high-fidelity simulation environment</li> <li>Explored reinforcement learning control strategies</li> </ul>https://bennetoutland.github.io/projects/tina-robot/Sat, 01 Jan 2022 00:00:00 +0000https://bennetoutland.github.io/projects/tina-robot/<p>A differential drive robot built for autonomous course navigation using computer vision feedback control.</p> <ul> <li>Built a differential drive robot with camera module</li> <li>Utilized computer vision techniques to determine desired path through the course</li> <li>Performed pixel-to-torque control to successfully navigate the course</li> </ul>