Describing small actions gives the humanoid “robots” in a simulation a common taxonomy to draw on. Using these, the robot executes chores, which the researchers have modeled as computer programs.

Robotic hands could only do what vast teams of engineers programmed them to do. Now they can learn more complex tasks on their own.

Called HandBot, it’s a D.I.Y. robotic hand which can recognize your hand gestures and mimic them back to you, or compete against you in a classic game of rock-paper-scissors. To do this, it uses ...

In the accompanying paper about the hand, Haptic Identification of Objects using a Modular Soft Robotic Gripper, the authors explain how they did it.

Remember that high speed robot from last year, that could beat humans at rock, paper, scissors? Since then, researchers at the University of Tokyo's Ishikawa Oku Lab have continued to work on it ...

This robot will beat you at Rock, Paper, Scissors every single time A University of Tokyo robot wins every time it plays the classic hand game.

A robot hand developed by the University of Tokyo's Ishikawa Oku Lab is reportedly so adept at the game rock, paper, scissors that it is unbeatable against a human opponent.

Google’s approach continuously analyzes the object and the robot hand’s relation to it, making it more adaptable, like a human. These robots are really just arms with brains, hooked up to a ...

Columbia Engineering researchers demonstrated a highly dexterous robot hand, one that combines an advanced sense of touch with motor learning algorithms in order to achieve a high level of ...

Three minutes after Quigley spoke his initial request, the robot reaches down, closes its fingers, and lifts its hand up from the table. And all it holds is a pocket of air.