Five Robotics Failures and What Developers Can Learn From Them

From Ocado's latest warehouse fire to consolidation among autonomous vehicle developers, these recent cases are reasons for hope rather than despair.

SoftBank Robotics


SoftBank stopped producing the Pepper humanoid service robots.
Humanoid robots, fruit-picking robots, and the ongoing self-driving car race show that rather than blame luck or overestimate technology, designers can learn from past mistakes.

Progress is not inevitable. Instead, it is the product of hard work, careful decisions, and applying lessons from failures. Rather than indulge in schadenfreude over recent robotics setbacks, let's see what developers, integrators, and users can learn from them.

It's easy to assume that robots, drones, and autonomous vehicles are becoming ever more capable. Certainly, sensors have become cheaper, artificial intelligence algorithms more sophisticated, and automation more widespread across industries. We've shared plenty of news stories about how automation is enabling the current e-commerce boom and how robotic and drone delivery trials are progressing.

At the same time, smart speakers overtook several social robots, most agricultural systems are still in the prototype phase, and today's videos of dancing humanoids only came after years of failures such as those in the DARPA Robotics Challenge.

Over the past year, many companies laid off staffers, but relatively few shut down. Here are some recent failures and possible lessons to be drawn from them.

About the Author

Eugene Demaitre's avatar
Eugene Demaitre
Eugene Demaitre was editorial director of Robotics 24/7. Prior to joining Peerless Media, he was a senior editor at Robotics Business Review and The Robot Report. Demaitre has also worked for BNA (now part of Bloomberg), Computerworld, and TechTarget. He has participated in numerous robotics-related webinars, podcasts, and events worldwide.
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SoftBank Robotics

SoftBank stopped producing the Pepper humanoid service robots.

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