How Collaborative Robots Improve Flexibility, Safety, and ROI

When we design cobot palletizing systems, we're often solving two different problems: limited floor space and the need to shift operations between lines throughout the day.

Random Depalletization

As the existing robotic automation could only handle boxes of consistent size and with certain conditions, there was a limit to realize full automation in reality. It stems from the fact that the robot could not take boxes of irregular sizes.

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Featured Product

Model TR1 Tru-Trac

Model TR1 Tru-Trac

The Model TR1 Tru-Trac® linear measurement solution is a versatile option for tracking velocity, position, or distance over a wide variety of surfaces. An integrated encoder, measuring wheel, and spring-loaded torsion arm in one, compact unit, the Model TR1 is easy to install. The spring-loaded torsion arm offers adjustable torsion load, allowing the Model TR1 to be mounted in almost any orientation - even upside-down. The threaded shaft on the pivot axis is field reversible, providing mounting access from either side. With operating speeds up to 3000 feet per minute, a wide variety of configuration options - including multiple wheel material options - and a housing made from a durable, conductive composite material that minimizes static buildup, the Model TR1 Tru-Trac® is the ideal solution for countless applications.

Robotics and Automation - Featured Company

Palladyne AI Corp.

Palladyne AI Corp.

Welcome to Palladyne AI, where we unleash the power of robotics with our revolutionary AI software platform for the physical world. In a world where robots are progressing toward human-like adaptability, seamlessly navigating dynamic environments and conquering complex tasks with unparalleled efficiency, Palladyne AI stands as the beacon of innovation toward that future reality. Through our cutting-edge artificial intelligence (AI) software platform, we are redefining the boundaries of robotics. Our goal is simple: Help companies with autonomy in their robotics operations by addressing key challenges of traditional robotic deployments.