Andrew English

Andrew English is a Principal Roboticist at Wayve, a leader in Embodied AI technology for autonomous driving. He leads the development of the safety architecture for Wayve’s assisted and automated driving technology. With nearly 2 decades of experience, Andrew has worked on advanced autonomous systems across automotive, agriculture, mining, and construction industries. Before Wayve, Andrew spent 6 years at Oxa, where he played a key role in developing their Level 4 product architecture. Andrew holds a Bachelor of Engineering and a PhD in Robotics from Queensland University of Technology.

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Presentation

Developing Safe and Scalable Automated Driving Systems with End-to-End AI

End-to-end AI (e2e AI) is drawing attention in the automotive industry, yet questions remain about its safety and practical application in Level 2+ to Level 3/4 driving systems. In this presentation, hear directly from Wayve, the pioneers of e2e AI, on how they are putting this transformative approach into practice. Learn how Wayve is addressing safety concerns without relying on traditional rules-based methods and why e2e AI excels at solving edge-case scenarios. Discover how this innovative approach is unlocking the path to safer, scalable, and adaptable autonomous driving systems.