Obeta

Assembly Line

Robotic Flexibility: How Today’s Autonomous Systems Can Be Adapted to Support Changing Operational Needs

📅 Date:

✍️ Author: Sara Pearson Specter

🔖 Topics: robotics, AI

🏭 Vertical: Machinery

🏢 Organizations: Obeta, Covariant, KNAPP


While robots are ideally suited to repetitive tasks, until now they lacked the intelligence to identify and handle tens of thousands of constantly changing products in a typical dynamic warehouse operation. That made applying robots to picking applications somewhat limited. Therefore, when German electrical supply wholesaler Obeta sought to install a new automated storage system from MHI member KNAPP in its new Berlin warehouse as a means to address a regional labor shortage made worse by COVID-19, the company specified a robotic picking system powered by onboard artificial intelligence (AI).

“The Covariant Brain is a universal AI that allows robots to see, reason and act in the world around them, completing tasks too complex and varied for traditional programmed robots. Covariant’s software enables Obeta’s Pick-It-Easy Robot to adapt to new tasks on its own through trial and error, so it can handle almost any object,” explained Peter Chen, co-founder and CEO of MHI member Covariant.ai.

Read more at MHI Solutions Magazine