
SICK – Robot-Guided Bin Picking for Automotive Parts Handling
Company:
SICK
Start Date:
2021
Category:
Bin Picking & Handling
Project Description:
SICK delivered a 3D vision-guided bin picking system enabling industrial robot arms to grasp randomly oriented metal stampings and castings from bulk bins without fixtures or manual presentation. The 3D camera captures a point cloud of the bin contents; the software identifies graspable instances, calculates collision-free pick poses, and commands the robot arm to pick and place parts onto a conveyor or fixture. The system handles multiple part geometries by switching between product models stored in the software library. Grasp success rates exceed 95% for most parts, with failed picks recycled automatically. The project replaced a manual unloading step that previously required one operator per bin-feeding station. Cycle time for bin feeding was reduced and labor was redeployed to higher-skill tasks.
Resources Used:
https://www.sick.com/; Robotics Business Review; AIA machine vision industry publications; IEEE robotics papers
Products Used:
microScan3, nanoScan3, TiM LiDAR, LMS sensors, Inspector vision, safety relays, encoders, RFID and barcode readers
Tags:
3D-vision, AI-vision, LiDAR, bin-picking, cloud-connected, conveyor-automation, depalletizing, pick-and-place, robot-guidance, sensor, vision-guided