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https://github.com/entelecheia/cobot-basics
A Python library simplifying the essential concepts and techniques for working with collaborative robots (cobots).
https://github.com/entelecheia/cobot-basics
Last synced: 17 days ago
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A Python library simplifying the essential concepts and techniques for working with collaborative robots (cobots).
- Host: GitHub
- URL: https://github.com/entelecheia/cobot-basics
- Owner: entelecheia
- Created: 2024-02-20T20:49:16.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-02-21T09:20:04.000Z (9 months ago)
- Last Synced: 2024-02-22T01:42:12.435Z (9 months ago)
- Homepage:
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Cobot Basics
A Python library simplifying the essential concepts and techniques for working with collaborative robots (cobots).
Learn the core concepts of collaborative robotics using Python. This library provides practical tools for communication, path planning, and camera integration, making it perfect for experimentation and learning.
## **Key Features**
- **Communication:** Establishes smooth communication with your cobot using common protocols:
- TCP/IP socket-based communication
- Modbus for interfacing with industrial devices
- **Path Planning:** Implement straightforward path planning algorithms:
- Linear interpolation for basic point-to-point motion
- Joint-space motion for direct control of joint angles
- **Camera Integration:** Seamlessly integrate camera systems for enhanced cobot functionality:
- OpenCV support for image processing and computer vision tasks
- Examples for object detection and pose estimation## **Getting Started**
1. **Install the library:**
```bash
pip install cobotics
```2. **Connect to your cobot:** Refer to your cobot's manual for connection instructions. An example with TCP/IP:
```python
import cobotics as cb
import socketcobot_ip = "192.168.1.100" # Replace with your cobot's IP address
cobot_port = 30002 # Replace if neededcobot = cb.Cobot(cobot_ip, cobot_port)
cobot.connect()
```3. **Start exploring!** Check out the examples folder for practical demonstrations.
**Example: Moving the Cobot**
```python
import cobotics as cb# ... (Connection code from above) ...
target_point = [0.4, 0.2, 0.3] # Example coordinates (meters)
cobot.move_linear(target_point)
```**Camera Usage Example**
```python
import cobot_basics as cb
import cv2 # Make sure you have OpenCV installed (pip install opencv-python)# ... (Connection code) ...
camera = cb.Camera()
image = camera.capture_image()# Use OpenCV for tasks like object detection:
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
objects = my_object_detector.detect(gray)
```## **Disclaimer:**
This library is intended for educational and prototyping purposes. Ensure you thoroughly understand your specific cobot, its safety features, and industrial safety standards before operating it in real-world scenarios.
## **Contributing**
We welcome contributions to expand the capabilities of 'cobotics'! Feel free to submit pull requests or open issues for feature requests and bug reports.
**Let's build a fantastic foundation for cobot development with Python!**
Let me know if you'd like any modifications or have specific aspects you want to highlight!