Pushing the boundaries of autonomous systems through cutting-edge research, real hardware, and hands-on innovation.
Student research papers and symposium presentations
Exploring the frontiers of autonomous systems
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Measuring our progress in innovation
Building the next generation of autonomous systems
IGVC building our frame peice by peice
Motorized Tank Tread Sides Of IGVC
This project track prepares AVL members for autonomous competition workflows, including navigation stack integration, test-course tuning, and repeated field validation. Teams run iterative design sprints to improve reliability and handoff across hardware and software subteams.
Members contribute to documentation, simulation baselines, and physical testing checkpoints to keep the platform competition-ready throughout each cycle.
AVL-002 Front Panel controlling stearing
AVL-002 Parked & Posing
AV2 is the lab's baseline autonomous platform for repeated integration of perception, planning, and low-level controls. The project emphasizes stable software deployment, reproducible experiments, and robust behavior in campus-like environments.
Current work includes improving sensor fusion quality, refining control smoothness, and expanding scenario coverage for day/night driving conditions.
IHerb Robot taken apart to its most basic parts
IHerb's Everywhere
This project explores a practical autonomous mobile robot workflow for structured indoor environments. The team is prototyping navigation behaviors, obstacle handling logic, and fleet-style operation concepts to support repeatable autonomous tasks.
Development is focused on safety-first operation, maintainable software interfaces, and system reliability under day-to-day use conditions.
The tools powering our research
Hands-on education in autonomous systems
"Learn by Doing"
At AVL, we embody our university's motto by believing the best way to master autonomous vehicle technology is through hands-on experience. Our workshops and resources are designed to take you from fundamentals to advanced topics, with real hardware and real code.
Videos, updates, and behind-the-scenes content
Watch our autonomous vehicles navigate campus roads
Our autonomous go-kart demonstrates real-time path planning and obstacle avoidance as it navigates Cal Poly Pomona's campus. This platform integrates LiDAR sensing, computer vision, and advanced control algorithms to achieve safe, reliable autonomous navigation in complex environments.