Animats 3 hours ago

It works best on problems which are strongly Cartesian. The chopsticks demo shows the limitations of this. The gripper can pick up two chopsticks, but it can't do much with them, because it can't rotate them to bring them together at the points. But it seems to be good for lab equipment with simple geometry.

Also, where are the motors? Inside the gripper, or at the other end of cables?

  • octoberfranklin 2 hours ago

    Rotational screw-on caps are not Cartesian, and this excels at dealing with them.

    I'm very impressed with this.

    Re: chopsticks, oh but it can! It can roll one chopstick between one pair of grippers. Do that while holding the tip against a fixed object and you'll tilt the chopstick. Once you get the tips touching, it can use them.

    The motors are inside those chonky things just outside the fingertips. I'm guessing hobby servos, which are tiny cheap and strong.

    • varjag an hour ago

      Still there are fundamental limitations. Holding a bowl full of liquid, a heavy jug with a rounded handle etc.

octoberfranklin 2 hours ago

One of the challenging parts of imitating human hands is that our hands sense through the same surface which deforms as we bend our fingers. We don't have good robotic devices that can do that.

This sidesteps the problem: the surface that contacts the object is flat and never bends, so you can apply a huge variety of very detailed grid sensors to it.

The "rolling between the fingers" trick is ultimately what eliminates the need for deformation.

SCAQTony 3 hours ago

...or AI assisted robotic surguries