New MiR Fleet Enterprise Software Raises the Bar in Scalability and Cybersecurity for Autonomous Mobile Robots
This latest release enhances its ability to deliver a full solution for advanced AMR hardware, sophisticated capabilities such as traffic management, and streamlined deployment processes, addressing the complex needs of enterprise-level customers seeking end-to-end solutions
Transforming Fleet Management for Mobile Robots with RTLS
By automatically tracking and monitoring objects and interactions in real-time, RTLS offers unparalleled insights and efficiencies that significantly impact the bottom line. Particularly noteworthy is how RTLS enhances the management and navigation of mobile robots.
Managing Robots with Plus One Robotics
As e-commerce grows, customer demand requires logistics centers to handle daily shipments that change constantly. As a result, a pallet will get stacked with a variety of items, resulting in a mixed pallet.
Increasing Warehouse Efficiency with Robotics
Through the combination of technology and our expertise in designing automated high-density storage and retrieval, we're able to achieve high levels of throughput that only automation working alongside people can bring.
Next-Generation Mobile Robots Fleet Management
By collating all the robots onto one platform, we can enable the robots to operate collectively rather than individually. If all the robots are on one platform and under one traffic control, they will be able to share their location and become very efficient.
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Featured Product

Palladyne™ IQ - Unlocking new frontiers for robotic performance.
Palladyne™ IQ is a closed-loop autonomy software that uses artificial intelligence (AI) and machine learning (ML) technologies to provide human-like reasoning capabilities for industrial robots and collaborative robots (cobots). By enabling robots to perceive variations or changes in the real-world environment and adapt to them dynamically, Palladyne IQ helps make robots smarter today and ready to handle jobs that have historically been too complex to automate.