This is a site to showcase robots using ROS. You can browse all, by tag or category as well as search. If there's a robot you want to see here please contribute via a pull request on github.
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Co-developed by NVIDIA and the robotics department at California Polytechnic State University, ‘Jet’ is a smart, autonomous robot based on the NVIDIA Jetson embedded development platform utilizing Servocity Acotobotics components. Jet’s brain is built around the NVIDIA Tegra SoC and uses the same NVIDIA computing cores designed into supercomputers. This gives Jet compute-intensive computer vision, artificial intelligence (AI), and self-driving capabilities in a low-cost package.
The anthropomorphic SCHUNK 5-finger hand grips nearly as perfectly as the human hand. Due to the moving parts with a total of nine drives, various gripping operations can be executed with high sensitivity. Elastic gripping surfaces ensure a reliable grip on objects.
The Intel® Euclid™ Development Kit features the integration of Intel® RealSense™ depth camera technology, a motion camera, and an Intel® Atom™ x7-Z8700 Quad core CPU to produce a compact and sleek all-in-one computer and depth camera. The Intel® Euclid™ Development Kit is designed to be operable out of the box with pre-installed software including an Ubuntu® operating system.
THOR (Tactical Hazardous Operations Robot) is an affordable, full size humanoid robot platform with advanced computational power, sophisticated sensors, high payload capacity, and dynamic motion abilities to enable many exciting researches and educational activities.
REEM, the humanoid service robot created by PAL Robotics, can be used for several purposes. Thanks to its autonomous navigation system, its user-friendly touchscreen, and its voice and face recognition system, REEM can find its way in various surroundings and help or entertain people in most public environments.
REEM-C is the latest commercial humanoid robot of PAL Robotics. REEM-C is an adult size humanoid (165 cm), and it has 44 degrees of freedom, two i7 computers, force/torque and range finders on each feet, stereo camera, 4 microphones, and other devices that make REEM-C one of the best equipped research platforms today.