| Read more about the benefits of AMRs. | Artificial intelligence (AI) driven deep learning has been proposed to help robotic picking become more intelligent and adaptable in the long-term, but it could be years before most companies can benefit from such an endeavor. In the meantime, many are seeking to facilitate more efficient collaborations between humans and robots instead.
A recent partnership between robots-as-a-service (RaaS) provider Fetch Robotics and software company Lucas Systems exemplifies this approach. Lucas Systems will be providing end-users of Fetch’s AMRs with AI-based warehouse optimization software that aggregates order, inventory, and location data from other systems and uses it to generate instructions for workflow optimization in real-time.
For instance, AI-driven analytics delivered via Lucas Systems’ software can direct workers as to how inventory can most efficiently be picked and packed out, while Fetch’s AMRs remain responsible for transporting the picked items to a conveyor or other system for further packing or processing.
Lucas Systems’ software includes a mobile application that allows users to scan items, view information, and issue voice commands. In addition, a console provides managers with real-time performance visibility and control of operations. Beyond monitoring operations, the software also allows managers to oversee workers and work-in-process, and update rules, settings, and configurations.
