At annual Tesla AI Day event , Tesla CEO Elon Musk revealed the company's prototype robot meant to revolutionize their assembly line. The robot was only able to walk on stage and wave to the crowd. Then Elon and his team showed what they hoped for the production unit to look like once it’s ready.  |
| cnet |
"Welcome to Tesla AI day 2022, I do want to set some expectations with respect to our Optimus robot. Last year it was just a person in a robot suit but we've come a long way and it's I think you know compared to that it's going to be very impressive so should we bring out the Bot." (Elon Musk)
This is the simple self driving computer that runs in Tesla cars. This is literally the first time the robot has operated without a tether was on stage. The robot can actually do a lot more than just showed. Apart just walking around and dancing on stage was just humble beginnings. The autopilot neural networks running as is just retrained for the bud directly on that new platform.
They use the same process as they did for autopilot to connect data in train your networks that then Deploy on the robot. That's an example that illustrates the upper body a bit. That's sort of rough development robot using semi off the shelf actuators.
But they actually have gone a step further than that. Already the team's done an incredible job and they actually have an optimist bot with a fully Tesla designed at both actuators. Battery pack control system everything.
With the degrees of freedom that have in Optimus production unit one is the ability to move all the fingers independently. The thumb have two degrees of freedom so it has opposable thumbs of both left and right hand. So it's able to operate tools and perform useful things. The Optimus is designed to be an extremely capable robot but made in probably ultimately millions of units and it is expected to cost less than a car. Less than twenty thousand dollars the potential for Optimistic is I think appreciated by very few people.
Tesla demos are coming in hot software integration, hardware upgrades over the months since then but in parallel we've also been designing the next generation. This one has a lot that's changed since last year. But there're a few things that are same.  |
| TechCrunch |
Here in Orange are actuators and in blue electrical system. In the middle of torso is the battery pack, the sized at 2.3 kilo watt / hour. Which is perfect for about full day's worth of work. The thing really unique about this battery pack is, it has all of the battery electronics integrated into a single PCB within the pack. Sort of our brain, it's not in the head but it's pretty close. Also in our torso, we have our central computer. So it's gonna do everything that a human brain does. Processing vision, making split second decisions, based on multiple sensory inputs and communications.
To support communications, it's equipped with wireless connectivity and audio support. It also has hardware level security features which are important to protect both the robot and the people around the robot. So they have sort of core that need some limbs on this guy.
There are similarities between a car and the robot when it comes to powertrain design. The most important thing that matters here is energy mass and cost. In the particular case you see a car with two drive units. The drive units are used in order to accelerate the car 0 to 60 miles per hour time or drive a city drive site. While the robot that has 28 actuators. The tasks are higher level like walking or climbing stairs or carrying a heavy object which need to be translated into joint. Into joint specs, the rotary actuator in particular has a mechanical clutch integrated. On the high speed side angular contact ball bearing and on the low speed side a cross roller bearing and the gear train is a strain wave gear. And three integrated sensors here and the bespoke permanent magnet machine. So actuator is able to lift a half tone nine foot concert grand piano.  |
| notateslaapp |
Fingers are driven by metallic tendons that are both flexible and strong. It has the ability to complete wide aperture power grasps while also being optimized for precision gripping of small thin and delicate objects. Some basic stats about hand is, that has six actuators and 11 degrees of freedom. It has an in hand controller which drives the fingers and receives sensor feedback, reported directly from autopilot to the bots situation.
The bot navigates to its environment and by using those points to get a better estimate of the Bots pose and trajectory within its environment as it's walking as natural as possible and also get there quickly.
They have broken this process down into two steps. First is generating a library of natural motion references or we could call them demonstrations and then adapted these motion references online to the current real world situation. They run reference trajectories through a trajectory optimization program which solves for where the hand should be, how the robot should balance during when it needs to adapt the motion to the real world. So for instance, if the box is in this location, then optimizer will create this trajectory instead.
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