Piece-picking robot provider OSARO announced it will showcase its recently-debuted Robotic Depalletization System at MODEX 2024.
The trade show will be held March 11-14 at the Georgia World Congress Center in Atlanta, GA.
OSARO said its newest system is now available to deploy for mixed-case depalletization applications at third-party logistics (3PL) operations, distribution centers, and e-commerce fulfillment warehouses.
Machine vision enables mixed-case depalletization
OSARO produces machine-learning-enabled robots and automation systems for e-commerce warehouse and fulfillment applications, including piece-picking robots for depalletization, induction, kitting and bagging, according to its website. The company said its latest robot arm is designed specifically for depalletizing mixed-size boxes from standard-sized pallets.
“While automated depalletization for uniform pallets has been available for some time, OSARO’s new intelligent robotic system addresses an increasingly common scenario at the receiving dock: pallets stacked with an unpredictable variety of boxes and shrink-wrapped packages of different shapes, sizes, and weights,” said OSARO CEO Derik Pridmore.
OSARO’s Robotic Depalletization System is equipped with the company’s SightWorks perception software, which OSARO said enables the robot to recognize, select, and successfully pick items from mixed-case pallets. Through its machine-vision base features, the depalletizing robot can recognize mixed-case boxes on complex pallets by identifying box centers, dimensions, and orientation, as well as packages of different sizes and materials and unevenly stacked packages.
Machine-learning robot provides flexible deployment
The OSARO Robotic Depalletization System can also determine if boxes are damaged or structurally unsound to avoid risky picks - assigning a damage score - identify protruding boxes that are within a defined distance beyond the pallet coordinates, and detect foreign objects such as box cutters, tools, and tape dispensers. The company said the robot will alert employees when it encounters a hazard to allow manual removal.
In operation, OSARO’s AI-powered vision system determines case angles, which cases are on top, and which should be picked first. The system then selects the appropriate end-of-arm tool to successfully grasp each package without interfering with adjacent cases.
The new robot arm is built on skids, enabling relocation by forklift. OSARO said its system increases efficiency, improves safety, reduces labor costs, and minimizes inventory shrinkage.
Article topics
Email Sign Up
![](https://scg-robotics.s3.amazonaws.com/images/site/email-sample.jpg)
![](https://www.robotics247.com/images/article/2024-02-23_OSAROdepalletization.jpg)