linorobot2
ur5_ROS-Gazebo
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linorobot2 | ur5_ROS-Gazebo | |
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3 | 1 | |
402 | 387 | |
7.3% | - | |
8.8 | 0.0 | |
13 days ago | over 2 years ago | |
Python | Python | |
Apache License 2.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
linorobot2
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linorobot2 with Raspberry Pi 3? Other templates/guides out there for ROS2?
As we all know, it is very hard to get a Pi 4 right now. I am interested in building a linorobot2 based on the instructions provided. They mention that the packages would work on an ARM-based computer like a Jetson or a Pi 4. I am wondering if there is any reason that a Pi 3 would not work to make a linorbobot2?
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Unpopular Opinion : The ROS community is garbage
I think https://github.com/linorobot/linorobot2 on 22.04 is one answer to that.
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RViz not showing robot: Global status: no tf Base_footprint doesnt exist error
I am working on creating AMR; using linorobot2 packages (https://github.com/linorobot/linorobot2)
ur5_ROS-Gazebo
What are some alternatives?
linorobot - Autonomous ground robots (2WD, 4WD, Ackermann Steering, Mecanum Drive)
ur3 - ROS-based UR3/UR3e controller with simulation in Gazebo. Adaptable to other UR robots
r_e_c_u_r - an open diy py/pi based video sampler
turtlebot3 - ROS packages for Turtlebot3
roschart - ROS Chart Specification
onrobot - OnRobot packages (https://wiki.ros.org/onrobot)
OpenWeedLocator - An open-source, low-cost, image-based weed detection device for in-crop and fallow scenarios.
ros2_documentation - ROS 2 docs repository
project-spotmicro-ai - Controlling the MicriSpotAI robot from scratch
rosbot-docker - Docker images for ROSbot 2 platform
yertle - A 3D Printed Quadrupedal Robot for Locomotion Research. :turtle:
Robotics-Object-Pose-Estimation - A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.