A:
Unlike industry, in academia performing research is more about generating new knowledge than a product. Thus when you see the technology we are developing, it is important to try to see the bigger picture than just its apparent direct applications. 1/3
Applications (products) are important indeed (ultimately that’s why we are doing research) but knowledge generated can be more widely applied to many more applications, often times even to areas that are not directly related the robot itself. For example: 2/3
New knowledge generated from our climbing robot is used for grasping applications, and new knowledge from our jumping robot can be used for areas that require sudden burst of power or require dynamic balancing with discontinuous contacts (Hint: tossing boxes in a factory? 😉) 3/3
• • •
Missing some Tweet in this thread? You can try to
force a refresh
The energy and excitement at AI Day2 was amazing. “AI day” is actually a recruitment event, and in that sense I believe the event was a big success. It was also incredible to see all the new technologies Tesla has been working on including the Optimus humanoid robot prototype.
I am aware of critics who say that the prototype had nothing new that they haven’t seen elsewhere, and that there are other more impressive humanoids. There are also people who have doubts on the aggressive timeline Elon had proposed, and I do not necessarily disagree with them.