The future of precision robotics has taken a giant leap forward with the new DEX-EE, a robotic hand specifically designed to meet the most demanding needs of machine learning researchers . Created by Shadow Robot in collaboration with Google DeepMind, this innovative hardware platform is transforming the way we interact with robotic technology.
Advanced capabilities of the DEX-EE robotic hand
The DEX-EE is a high-performance robotic manipulation system , capable of precise gripping and complex manipulations with an unprecedented level of dexterity. Thanks to its advanced tactile sensors and tendon actuation system with more than one motor per joint, the DEX-EE offers impressive sensitivity in each of its movements . This makes it the perfect platform for projects that require precise and durable control.
What truly sets the DEX-EE apart from other robotic hands on the market is its ability to be fully integrated into machine learning research projects. Its robust and reliable design allows researchers to conduct long-running experiments without worrying about hardware failures . With hundreds of touch-sensing channels per finger and high-speed sensors, this robotic platform is capable of collecting crucial data on position, force, and inertia in real time.
Ideal for long-term and high-demand projects
One of the highlights of the DEX-EE is its durability. The mean time to failure is long, ensuring high availability for long experiments without interruptions. In addition, the hand has been designed to withstand repeated impacts from its environment , making it an ideal tool for projects where durability is essential.
The DEX-EE represents a significant advance in automated manipulation , and with its integration with ROS, opens up a range of possibilities for research in advanced robotics and reinforcement learning.
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Source and photo: Shadow Robot
