This solution utilizes 2D Vision, Deep Learning (Instance Segmentation), Reinforcement Learning (RL), and Motion Planning (OMPL) algorithms to rapidly recognize and sort recyclable plastics on a moving conveyor belt.

The system features high-performance vision capable of quickly identifying objects even with highly irregular shapes. Through advanced motion planning, it executes sorting tasks with exceptional speed and precision.

Components

Robot
  • Robot: 3-Axis Delta Robot

    • High-speed parallel robot optimized for rapid pick-and-place operations.

Workflow

STEP 1.Input of mixed waste piles.
STEP 2. Recognition of targeted plastic objects.
STEP 3. Picking and discharging the identified plastic products.

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Recyclable Plastic Sorting using Delta Robots and Deep Learning

Implementing Company
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Estimated Project Duration
0week
Robot Model
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