#python #cloud #custom_component #home_assistant #map #roborock #robot #vacuum #xiaomi #xiaomi_smart_home

https://github.com/PiotrMachowski/Home-Assistant-custom-components-Xiaomi-Cloud-Map-Extractor

#python #bot #crypto #cryptocurrency #pyqt #pyqt5 #robot #simulations #telegram #trade #trading

https://github.com/ZENALC/algobot

#html #arduino #gps #landscaping #lawn_mower #path_finding #raspberry_pi #robomow #robot #robotics #ros #rtk

https://github.com/ClemensElflein/OpenMower

#python #3d_computer_vision #computer_vision #embodied_ai #reinforcement_learning #robot_learning #robot_manipulation #robotics #robotics_simulation #simulation_environment

ManiSkill 3 is a powerful tool for simulating and training robots, especially for tasks that involve manipulating objects. It uses GPU power to collect and simulate data very quickly, up to 30,000 frames per second, which is much faster than other simulators. This makes it great for testing and training robots in various scenarios without needing a lot of time or hardware. It supports different types of robots and tasks, and it's easy to set up and use, even on Google Colab without your own hardware. However, it's still in beta, so some features are not yet available and there might be bugs. Overall, ManiSkill 3 helps users train and test robots much more efficiently.

https://github.com/haosulab/ManiSkill

#go #automation #c #go #golang #hook #image #mouse #opencv #robot #robotgo #rpa #window

Robotgo is a tool that helps automate tasks on your computer using the Go programming language. It can control the mouse and keyboard, capture screenshots, and work with windows. This means you can use it to automatically do things like scrolling, clicking, or typing text. Robotgo works on Windows, Mac, and Linux systems, making it very versatile. Using Robotgo can save time by automating repetitive tasks, allowing you to focus on more important things.

https://github.com/go-vgo/robotgo

#python #isaac_sim #omniverse_kit_extension #robot_learning #robotics

Isaac Lab is a free, open-source tool that helps you easily create and test robot learning projects using fast, realistic simulations powered by NVIDIA’s Isaac Sim. It supports many robot types and environments, with accurate sensors like cameras and LIDAR, and runs quickly on GPUs. You can train robots using popular AI methods like reinforcement learning, either on your computer or in the cloud. This saves you time and money by letting you develop and improve robot skills virtually before using real hardware. Isaac Lab also has detailed guides and a community to support your learning and projects. This makes robot research and development simpler and more efficient.

https://github.com/isaac-sim/IsaacLab

#mdx #bilateral_teleoperation #force_feedback #genesis #gravity_compensation #humanoid_robot #imitation_learning #machine_learning #moveit2 #mujoco #open_source #openarm #python #reinforcement_learning #robot #robot_arm #robotics #ros2 #teleoperation

OpenArm is a special robot arm that helps with physical AI research. It has 7 degrees of freedom, which means it can move like a human arm. This makes it good for tasks that involve touching or moving things safely around people. The robot is open-source, meaning anyone can build, modify, and use it. This is helpful because it makes advanced robotics available to more people, like researchers and students, without costing too much. A complete system with two arms costs about $6,500, which is much cheaper than similar robots.

https://github.com/enactic/openarm