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The most important lessons in robotics are the ones you learn the hard way.
Around 2018, after having designed mission-critical systems for government agencies in the U.S., U.K. and Netherlands during my time at Motorola, I became deeply interested in robotics—reading voraciously, building 2WD robots, and studying ROS (Robot Operating System).
During that time, I was fortunate enough to meet a few inspiring founders of a robotics startup in the Silicon Valley and decided to join this team.
It didn’t take long to realize that running a robotics startup is brutally hard.
We made plenty of mistakes—some avoidable, some inevitable. This book is an attempt to capture the lessons we learned that I hope will help the next-gen robotics founders, engineers, and investors save a ton of time, health, and capital.
Below is a quick overview of these lessons:
1) The Long-Tail Problem in Robotics Is Unforgiving
2) LiDARs Aren’t as Robust as You Think
3) Localization: Easier Said Than Done
4) Scaling Smart: Fewer Clients, More Efficiency—Customization Is a Trap
5) Autonomy Is Just Step One—Integration Is What Matters
6) Running a Robotics Startup Feels Like Running Multiple Companies
7) Global Expansion in Robotics: The Early-Stage Trap
8) The Hardest Part? Building the Right Team
👉 If you need more context, real-world examples and practical frameworks to address each of these risk vectors, the book is now available on Amazon. Link in the comments.
I hope these lessons help you navigate the toughest parts of this journey with fewer scars.
Until next time - Hello Robot!
#Robot

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