IMAGE CREDIT: The European Space Agency (ESA)
We are Britain’s longest-running robot company (winners of the Queen's Awards 2019 under Innovation) and are experts at grasping and manipulation for robotic hands and systems.
Shadow has worked with companies and researchers all over the world, looking at new ways to apply robotics technologies to solve real-world problems. We develop and sell the Shadow Dexterous Hand, recently used to advance research into AI (having won the AIconics Award for best innovation in AI hardware 2019), and the Modular Grasper, an essential tool for supporting industry 4.0.
We are also a pioneer in the fast-developing fields of teleoperation and telepresence with our Tactile Telerobot, where the Shadow Hand is combined with sensors and controlled via a haptic glove for touch feedback.
We use ROS as our open source robotic operating system to support research platforms. To have a look at the ROS software we distribute for our hardware and also for different control means that we're using, please refer to our shadow_robot stack, as well as our etherCAT driver.
Visit our website for more on Shadow and robotics research.
Shadow Dexterous Hand
ROS Software Maintainer: <firstname.lastname@example.org>
The Shadow Dexterous Hand, often shortened to Shadow Hand, is part of the Shadow Hand Dexterous Series.
The Shadow Dexterous Hand is a truly anthropomorphic approach to robot manipulation. With 20 actuated degrees of freedom, position and force sensors, and ultra-sensitive touch sensors on the fingertips, the Hand provides unique capabilities for problems that require the closest approximation of the human hand. Researchers and developers in industrial labs, research institutes and universities who are looking for the most human-like robotic hands with advanced grasping and manipulating abilities, can use Shadow’s Dexterous Hand to yield data-driven results and make key discoveries in their field.
Open AI has used the Hand to further advance their research into artificial intelligence.
The Human Brain Project has used the Hand in simulation.
The Shadow Dexterous Hand uses industry-standard interfaces and can be used as an end-effector such as a teleoperation tool or mounted on a range of robot arms as part of a robot system.
For more information, check out the Dexterous Hand page on our website.
ROS Kinetic and Melodic
For a typical user, we recommend installing Shadow software using Docker. Docker is a container framework where each container image is a lightweight, stand-alone, executable package that includes everything needed to run it. It is similar to a virtual machine but with much less overhead.
Follow the instructions here to get the latest Docker container of the hand driver and interface up and running for both a real Shadow hand and a simulated hand.
Our code is split into different repositories:
sr_common: This repository contains the bare minimum for communicating with the Shadow Hand from a remote computer (urdf models and messages).
sr_core: These are the core packages for the Shadow Robot hardware and simulation.
sr_interface: This repository contains the high level interface and its dependencies for interacting simply with our robots.
sr_tools: This repository contains more advanced tools that might be needed in specific use cases.
sr_visualization: This repository contains the various rqt_gui plugins we developed.
sr_config: This repository contains the customer specific configuration for the Shadow Robot Hand.
Tutorials and Examples
Our Tactile Telerobot showreel will give you a good idea around the dexterity of our Hands.
OpenAI trained our Hand to manipulate objects and advance research into machine learning and AI:
OpenAI solve a Rubik’s cube with our Robot Hand:
See our Hands and systems in action on our YouTube channel.
Please contact us: email@example.com.