Roboteon, a leading innovator in intelligent warehouse robotics software, announced this week that it has made a major expansion to its industry-leading Innovation Lab co-located with the company’s headquarters In San Jose, CA.
The expansion takes the lab to more than 3000 square feet, with the new space used to add even more equipment in addition to the multiple systems previously deployed, all powered by Roboteon’s advanced Robotics Fulfillment and Orchestration Platform.
The lab now includes many different types of Autonomous Mobile Robots (AMRs) from multiple vendors, with demonstrated interoperability across different fleets. A key addition to systems at the lab with the expansion comes from a new autonomous pallet jack to support mixed case picking.
The lab also has several robotic picking arm robots that support pick and place, case picking and other applications using our AI-based Vision system software.
Other technologies in the lab include:
- Put Walls
- Conveyors
- Print and Apply
- Internet of Things (IoT)
- Pick-to-Light
- PLC integration
- More
The lab serves multiple purposes, including the following:
- Providing potential adopters of robotics a chance to gain a hands-on feel for relevant equipment and software
- A facility to bring on new robot types and vendors for rapid integration and testing of the robot(s) with the Roboteon software platform
- A flexible, dedicated area for research and development of new warehouse and manufacturing automation capabilities
You can see the Roboteon lab in action in a short video available here: Roboteon Innovation Lab.
About Roboteon
Roboteon Inc. is a market innovator enabling rapid deployment and efficient operation of robotics in distribution environments. Our AI-driven platform supports seamless interoperability across robotic technologies and vendors and dynamically optimizes fulfillment execution, including order planning and order release based on real-time floor conditions and resources. Designed for agility and fast time-to-value, Roboteon empowers enterprises to continuously adapt to new automation strategies and operational demands.
