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Meta's AI-Powered Robot Hand Raises Concerns for Human Workers

Why it matters: Techcrunch reports that Meta has unveiled a groundbreaking robotic hand that can “feel” touch, marking a significant advancement in robotics that could threaten jobs across multiple industries.

Meta is making a robot hand that can ‘feel’ touch

Meta says it’s partnering with sensor firm GelSight and Wonik Robotics, a South Korean robotics company, to commercialize tactile sensors for AI.

Google DeepMind unveils two new AI-based robot hand systems—ALOHA Unleashed and DemoStart

Engineers working on Google's DeepMind project have announced the development of two new AI-based robot systems.

ETRI develops omnidirectional tactile sensors for robot hands

ETRI entered into a mutual cooperation agreement with Wonik Robotics to jointly develop the technology.

South Korean researchers develop robotic fingers with pressure sensitivity

The robotic finger, a collaborative development by the Electronics and Telecommunications Research Institute (ETRI) and Wonik Robotics./ETRI

Twisting Lids Off with Two Hands | UC Berkeley

TLDR We train two robot hands to twist bottle lids using deep RL and sim-to-real.

General In-Hand Object Rotation with Vision and Touch | UC Berkeley, Meta AI, CMU, TU Dresden, CeTI

Conference on Robot Learning (CoRL), 2023

Scientists create soft and scalable robotic hand based on multiple materials

Researchers at University of Coimbra in Portugal recently developed a new soft robotic hand that could be more affordable and easier to fabricate.

Technology Gives Robots Human-Like Sense of Grip

A sensor provides high-resolution tactile information so robots could better manipulate and grasp objects.

Robotic Hand Uses Sense of Touch to Rotate Objects

Researchers outfitted the appendage with inexpensive binary sensors, an approach that doesn't require vision to 'feel' whatever it's holding.

It’s all in the wrist: energy-efficient robot hand learns how not to drop the ball

Researchers have designed a low-cost, energy-efficient robotic hand that can grasp a range of objects – and not drop them – using just the movement of its wrist and the feeling in its ‘skin’.

In-Hand Object Rotation via Rapid Motor Adaptation | UC Berkeley, Meta AI

Conference on Robot Learning (CoRL), 2022

Why Facebook (Or Meta) Is Making Tactile Sensors for Robots

Durable and affordable fingers and skin could help virtual agents understand their world