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Robot, know thyself: New vision-based system teaches . . . - MIT News A 3D-printed robotic arm holds a pencil as it trains using random movements and a single camera — part of a new control system called Neural Jacobian Fields (NJF) Rather than relying on sensors or hand-coded models, NJF allows robots to learn how their bodies move in response to motor commands purely from visual observation, offering a pathway to more flexible, affordable, and self-aware
Watch this terrifying robotic torso spring into life Startup Clone Robotics has created an ultra-creepy humanoid torso with artificial muscles that are activated through a battery-powered hydraulic system and covered in ghostly-white "skin "
Robotic hand can identify objects with just one grasp MIT-developed soft-rigid robotic fingers incorporate powerful sensors along their entire length, enabling them to produce a robotic hand that could accurately identify objects after only one grasp
A new model offers robots precise pick-and-place solutions Pick-and-place machines are a type of automated equipment used to place objects into structured, organized locations These machines are used for a variety of applications — from electronics assembly to packaging, bin picking, and even inspection — but many current pick-and-place solutions are limited Current solutions lack “precise generalization,” or the ability to solve many tasks