Payload Capture Rover
Autonomous Ground Vehicle
Practical Solutions
Welcome to our unmanned ground vehicle portfolio! Representing half of California State University: Long Beach in the annual Raytheon Drone Competition, our team tackled the development of an autonomous vehicle equipped with specialized navigation algorithms. Our job is to capture a water payload whilst navigating different paths, with different speeds.
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WHO WE ARE
Innovators. Dreamers.
We are a dedicated team of CSULB students focused on creating a cutting-edge Unmanned Ground Vehicle (UGV) for the Raytheon Drone Competition. Our multidisciplinary expertise spans hardware, software, and verification, enabling us to develop an autonomous UGV with innovative capabilities like machine learning and AI-driven navigation. We’re passionate about innovation, teamwork, and making a positive impact through our project. Want to delve deeper into our journey?
