The latest Ride AI podcast episode features Stefan Seltz-Axmacher, the former founder of Starsky Robotics and current founder and CEO of Polymath Robotics, discussing his experiences in the self-driving truck industry. Stefan reflects on the challenges faced by Starsky Robotics, particularly the overconfidence in machine learning and the belief in a one-size-fits-all solution for autonomy, and how this experience informs Polymath Robotics, his new venture focused on building a generalized navigation layer for off-road vehicles.
Stefan reflects on the history of self-driving trucks and the challenges faced during his time at Starsky Robotics, including the overconfidence in machine learning and the misconception that data collection alone would lead to successful autonomous driving.
He highlights the difficulty in raising funds for a more focused approach compared to competitors' broader promises.
Stefan discusses the need for a more grounded understanding of robotics and AI, emphasizing the importance of addressing specific problems rather than chasing general solutions.
Polymath Robotics aims to democratize automation by reducing the upfront costs and complexity, allowing smaller players and seed-funded startups to compete effectively.
Stefan emphasizes the parallels between the evolution of the automotive and smartphone industries, indicating a similar maturation process in robotics hardware.
