Comau deploys AI‑driven MyCo robot system for Decathlon e‑commerce fulfillment
Comau announced that its MyCo collaborative robot, equipped with a ROS 2‑based control stack, has been validated in Decathlon’s e‑commerce fulfillment center. The system, developed under the EU‑backed MASTERLY initiative, combines a modular gripper, vision sensors, digital‑twin modeling and workflow orchestration to pick, handle and palletize a wide variety of items—rigid, soft or porous—without…
Key points
- Comau’s MyCo robot autonomously picks, handles and pallets diverse e‑commerce items using AI vision and modular gripper
- System validated in Decathlon’s fulfillment center under EU MASTERLY project, emphasizing reconfigurability and ergonomics
- Project involves partners STAM, Exotec, Geek+, PAL Robotics and Simbe Robotics, expanding Comau’s intralogistics portfolio
Alessandro Piscioneri, head of product and solution management at Comau, said the solution showcases how AI‑enabled robotics can make warehouse operations more reconfigurable, ergonomic and resilient to supply‑chain shocks. The project also involved STAM, a systems integrator, and sits alongside Decathlon’s existing partnerships with Exotec, Geek+, PAL Robotics and Simbe Robotics. Comau expects the validated capabilities to be rolled into its broader MyCo platform and future intralogistics offerings.
The deployment highlights a shift toward flexible, human‑centric automation in retail logistics, where AI‑driven perception and real‑time optimization enable rapid adaptation to changing product mixes and demand patterns.
Comau automates picking, handling, and palletizing for Decathlon
The Robot Report · 10 September 2026
Comau SpA yesterday said it has designed and validated an order-preparation system tested in Decathlon’s e-commerce fulfillment operations. The system is part of MASTERLY, a European initiative designed to accelerate the transition from traditional mass production to highly flexible, customized manufacturing systems.
The system uses the Turin, Italy-based company‘s MyCo collaborative robot with a ROS 2-based software architecture. It integrates an advanced modular gripper to autonomously manage picking, handling, and palletizing tasks across variable product flows.
“Comau’s role in the MASTERLY project is fully aligned with our commitment to advancing next-generation manufacturing by promoting reconfigurability, efficiency, and human-centric automation,” said Alessandro Piscioneri, the head of product and solution management of advanced automation solutions at Comau.
“The project also highlights the strategic value of combining intelligent robotics, digital technologies and systems integration to create highly flexible logistics and fulfillment operations capable of adapting to rapidly changing production and market demands while maintaining operational continuity, scalability and ease of use,” he stated. “Comau’s growing strategic focus on intralogistics includes strengthening our capabilities through acquisitions, including Automha and Invent, which enable us to deliver increasingly integrated and intelligent solutions across the entire warehouse and production value chain.”
Comau designs system for complex fulfillment
Comau said it engineered MyCo to manipulate objects varying in shape, weight, and material. In addition to MyCo, the solution also incorporates advanced sensors, vision-based object recognition, digital twin capabilities, and workflow orchestration tools.
The company said the system can manage the rigid, soft, and porous materials commonly found in e-commerce fulfillment environments. Comau also claimed that its system enables real-time optimization and smooth interaction between operators and the automated processes. This helps it ensure high flexibility while maintaining consistent throughput and operational reliability, it said.
Comau said the knowledge gained and functionalities validated during the project will contribute to the continued evolution of its MyCo platform. The company said it expects these improvements to become part of its broader portfolio of advanced intralogistics capabilities.
MASTERLY uses AI, automation for supply chain resilience
Comau noted that its role within the MASTERLY project reflects its use of advanced AI-backed automation to address evolving production challenges. This includes increasing variability, supply chain disruptions, and the need for rapid reconfiguration.
The company acknowledged that it developed the intelligent warehousing and logistics system with the project’s ecosystem of technology partners. Comau said its scalable and versatile automation is designed to improve workplace ergonomics, reduce physical strain, and enhance operational flexibility within human-centric production environments.
The project parameters were driven by Decathlon’s operational requirements within the targeted fulfillment process, which has provided the foundation for implementing and validating several advanced functionalities. Key partners included Decathlon itself and STAM, a Genoa-based systems integrator, alongside the broader MASTERLY consortium.
Decathlon has worked with other robotics companies, including Exotec, Geek+, PAL Robotics, and Simbe Robotics.
This text was published by The Robot Report and written by The Robot Report Staff. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us.
Comments
via GitHub Discussions