Summary
- Developed a robotic sorting system using Resolved Motion Rate Control
- Implemented precise object detection and classification
- Created efficient sorting algorithms for optimal performance
The Sort Master
Industrial Robotics
Project Overview
The Sort Master project focused on developing an advanced robotic sorting system using the
Dobot Robot platform. The system was designed to efficiently identify, sort, and manipulate
objects based on their characteristics, utilizing Resolved Motion Rate Control for precise
movements.
Using MATLAB, we implemented sophisticated control algorithms that enabled smooth and accurate
robotic movements. The system incorporated object detection capabilities and advanced sorting
algorithms to optimize the sorting process and minimize cycle times.
A key challenge was achieving high-speed operation while maintaining accuracy and reliability.
This was addressed through careful tuning of the control parameters and optimization of the
motion planning algorithms.
Results
The Sort Master system demonstrated exceptional performance in object sorting tasks, achieving high accuracy and efficiency. The implementation of Resolved Motion Rate Control resulted in smooth and precise robotic movements, while the optimized sorting algorithms significantly reduced cycle times. The project received high distinction recognition for its innovative approach to industrial automation and robust implementation.
Potential Improvements
Future enhancements could include implementing machine learning for more advanced object recognition, developing adaptive control systems for handling objects of varying sizes and weights, integrating real-time path planning for dynamic environments, and adding multi-robot coordination capabilities for increased throughput.
Core Technologies and Skills
MATLAB
Robotics
Motion Control
Object Detection
Algorithm Design
System Integration
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