![]() It measures a compact 10x12圆cm and it weighs only 500g.įigure 1. The robot is fully 3D printable, able to wander on your desk autonomously and uses a simple camera and two OLEDs-these act as a pair of eyes. Nanosaur is a simple open-source robot based on NVIDIA Jetson. ROS2 is becoming the new robotics distribution after the official last ROS release (Noetic), and support from the community is growing after the first LTS release. At that point, the community started to lay the foundation of the second generation of ROS, redesigning it for the research community and companies with an eye on security, intra-communication, and reliability. In 2015, the ROS community noticed the production release’s weakness, with lacking single robot support (roscore) security, slow real-time support, and other central issues. Eventually, it gained popularity among the broader developer community, including robotics makers and companies. At first, this framework was primarily used by the robotics research community. The 2012 handover to the new Open Robotics foundation was made to maintain the framework’s development. Willow Garage developed the Robot Operating System (ROS) in 2007. The focus of this post is AprilTags detection using nanosaur, a simple open-source robot based on the NVIDIA Jetson platform.īefore going into detail on this application, here is the history of ROS, NVIDIA Isaac GEMs, and how nanosaur is built. This post investigates how you can accelerate your robot’s deployment by implementing NVIDIA Isaac ROS GEMs. These ROS2 packages are built from ROS2 Foxy, the first Long Stable Release (LTS) to come out of the robotics community. NVIDIA Isaac GEMs for ROS provides a set of GPU-accelerated packages for your ROS2 application, improving throughput on image processing and DNN-based perception models. ![]()
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