fred
robot-arm
fred | robot-arm | |
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4 | 2 | |
99 | 43 | |
- | - | |
5.9 | 8.9 | |
4 months ago | about 2 months ago | |
Python | Python | |
GNU General Public License v3.0 only | - |
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fred
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Ask HN: Best way to learn robotics with a 10 year old?
Thanks, that's very interesting, bookmarked! I found https://github.com/thomashiemstra/fred whilst searching, which also uses dynamixel motors, but very expensive ones.
It does look very smooth motion-wise though!
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Anyone know of any good robotic arm programming simulators?
Another option: pybullet. If you just want to learn and you don't need a super high performant system go with python. As an example my code for controlling a simulated robot arm with pybullet my code
- Fred the Robot Arm – 6 DOF 3D printed dynamixel robot arm
- Obstacle avoidance using deep reinforcement learning on a 3d printed 6 DOF robot arm. Github in comments.
robot-arm
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Ask HN: Best way to learn robotics with a 10 year old?
Modern robotics with deep learning/imitation learning is surprisingly accessible. The low-cost robot arm I used in this project is very easy to 3D print and assemble: https://github.com/trzy/robot-arm
An iPhone app is used to teleoperate the arm and gather examples of an action. You then train the model and deploy it and the arm performs the actions based on current camera input and joint angle state.
- Robot Imitation Learning with an iPhone and ARKit
What are some alternatives?
trax - Trax — Deep Learning with Clear Code and Speed
BlossomNav - BlossomNav: A Low-Cost Software Suite for Mobile Socially Assistive Robots
blossom-public - This is a version of the robot control codebase for Blossom robot, which was originally developed by Cornell (https://github.com/hrc2/blossom-public)
gazebo-classic - Gazebo classic. For the latest version, see https://github.com/gazebosim/gz-sim
teleop - Turns your phone into a robot arm teleoperation device by leveraging the WebXR API
blossom-public - Public Repo for the Cornell Blossom Robot
flower - Flower: A Friendly Federated AI Framework
habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.
rl - A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.