During the past year, there have been major implosions of robot startups, such as with Jibo, Anki and Rethink Robotics. They all raised substantial amounts of capital from top-tier investors and had strong teams.
So why the failure? One of the main reasons is the extreme complexities of melding software and movable hardware. As a result, the technology often does not live up to expectations.
Dr. Alex Wong, who is the Chief Scientist and co-founder of DarwinAI, has this to say: “One of the primary difficulties with AI in this context is that learning to manipulate physical objects with a high level of dexterity in dynamic and ‘noisy’ real-world environments is extremely challenging, as it must take into account an incredible number of environmental factors to make complex decisions in real-time. Additional complexities in this area are issues associated with ‘data sparsity’ and training speed.”
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