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2015 is long time ago, hence the purpose of the article. From my research, I think at least 3 things changed: 1. We are getting much better at sensing the envi
by liuliu 5y ago
2015 is long time ago, hence the purpose of the article. From my research, I think at least 3 things changed:
1. We are getting much better at sensing the environment and construct realistic representations of these, mostly due to the advances in deep learning and interests in augmented reality. Best of all, many of these solutions are open-source;
2. Comparing to the onboard computations available today, I won't call dynamic walking a "computational expensive" task any more. We have Jetson AGX Xavier, which can do teraflops of floating-point computation;
3. We are better at battery and electric actuators.
I think that today's humanoid, even made by universities, can probably perform much better in the same Darpa challenge with reasonable budget (1m or so).
- TaylorAlexander 5y agoAnd if it's Tesla we're talking about, they have extremely powerful custom AI chips already in production in their vehicles, more powerful than AGX Xavier (I have one of those!). Tesla also has what is in my opinion a very good AI system (Dojo) for training machines designed to operate in the real world. I think it could work for a humanoid. And I pointed out in a neighbor comment but both Boston Dynamics and Agility Robotics use dynamic walks, not static walking. I agree they would do much better on the Darpa challenge too. This video from Agility shows some tasks similar to the Darpa challenge: https://www.youtube.com/watch?v=Jycdks836bY https://www.youtube.com/watch?v=Jycdks836bY Tesla is IMO in a good position to do something with humanoids especially if they buy Agility Robotics and slap their AI system into it. We know they can do the manufacturing and Musk does love to buy companies for their tech.