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Why AI Still Falls Short: Real-World Robotics with Francis Govers
Description
What happens when the guy who helped design the International Space Station starts teaching robots to clean up after grandkids?
You get Francis Govers, engineer, author, and Director at Airbus US, pulling back the curtain on what really works in robotics and AI. In this episode of The Innovator’s Playbook, he joins host Seth Narayanan to explain why generative AI isn’t ready for mission-critical work, how he uses OODA loops to structure robot behavior, and what ants can teach us about swarm coordination in autonomous fleets.
Francis doesn’t just theorize, he builds. With over 30 autonomous vehicles (including 18,000 lb helicopters) under his belt, he shares firsthand insights into why good robotics requires not just sensors and code, but structured decision-making, simplified systems, and creative problem solving.
“The robot didn’t fall down the stairs because I never trained it to.”
Here’s how he’s shaping the future, from self-flying cargo drones to toy-sorting bots that navigate chaos with grace.
Key Takeaways
Latent Space and Robotic Imagination
Francis explains how abstract motion, path planning, and “imagination” live in latent space, and why this unlocks a new kind of adaptability in machines.
When AI Isn’t Enough: Quality Gaps in Generative Tools
Despite the buzz, Francis reveals where AI-generated content still fails, especially in professional environments where nuance, control, and precision matter.
Swarms, Ants, and the Secret to Drone Coordination
From pheromone trails to distributed planning, he breaks down what nature teaches us about managing complexity in multi-agent autonomous systems.
Real Robots, Real Decisions: The Power of the OODA Loop
He walks us through Observe Orient Decide Act cycles, why they’re still foundational for robotics, and how they scale from household helpers to flying machines.
Future-Proof Autonomy: Cargo Helicopters and Beyond
Peek into the work happening at Airbus US: self-flying cargo delivery helicopters for hard to reach locations, and what that means for defense and logistics.
Learning Through Building: Mentorship, Toy Boxes & Teaching Robots
Francis shares personal stories of mentoring students, competing in drone contests, and building robots that learn not through code, but by watching what not to do.
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