Six Things I Learned Watching a Robotics Startup Die from the Inside
16 hours ago
- #hardware
- #startups
- #robotics
- Large Model Chauvinism can lead to dangerous oversights in hardware safety, as AI models are not infallible.
- Over-simplified analogies like comparing humanoid robots to hoverboards are misleading and unhelpful for actual engineering challenges.
- Hardware supply chain is a complex capability to build, not just a task to delegate, requiring deep relationships and negotiations.
- Robotics hardware is not yet a commodity; custom designs are necessary, and undervaluing hardware contributions can harm the team.
- In a competitive race, poor R&D decisions can be more detrimental than bad luck, emphasizing the need for quality decision-making.
- Rushing development leads to cutting corners and ultimately delays, as skipping essential steps results in failures that cost more time.