Autonomous Mobile Robots (AMRs) have become a versatile solution for improving internal logistics and streamlining material handling processes across many different environments. Their ability to move goods safely and autonomously reduces reliance on manual transport while improving workflow consistency.
However, while AMRs offer clear advantages, they also introduce some practical challenges. Many systems rely on fixed modules that limit adaptability once deployed, making it difficult to reconfigure workflows as operational requirements change. In addition, scaling a system often requires purchasing additional AMRs, which can significantly increase project costs. For organisations looking to evolve their internal logistics gradually, this lack of flexibility can become a costly barrier.
At Applied Integration, we set out to address these limitations. The objective was to develop a solution that would reduce the initial investment required for AMR deployment while improving adaptability, allowing a single platform to support multiple operational roles without compromising reliability.
The vision behind AiCart was to create a modular, adaptable platform capable of working alongside existing AMR technology while providing greater operational flexibility. Rather than designing a fixed solution tied to a single application, the focus was on building a system that could evolve alongside customer requirements.
The design process began with a detailed evaluation of how AMRs are typically used within industrial environments. It became clear that one of the key inefficiencies was the reliance on dedicated top modules for each task, which limited the ability to repurpose vehicles for different workflows. This insight led to the development of a flexible cart-based concept that could interface with AMRs while allowing interchangeable tooling and payload configurations.
From the outset, compatibility was a core requirement. The system was initially engineered to integrate with MiR autonomous vehicles, while maintaining a design philosophy that would allow adaptation to other platforms, including KUKA vehicles, in future deployments. This ensured that the solution would remain versatile and scalable as technology evolves.
The resulting AiCart platform was designed to act as an intelligent interface between autonomous vehicles and the materials they transport. Instead of relying on permanently mounted modules, the cart provides a flexible payload solution that can be configured for different tasks, allowing a single AMR to support multiple applications across a facility.
Engineering efforts focused on creating a robust mechanical design that could withstand demanding industrial environments while maintaining precise alignment with the AMR during docking and transport. The cart’s modular architecture allows different tooling or payload systems to be introduced without redesigning the entire platform, significantly reducing the cost and complexity of future upgrades.
The AiCart was engineered to reduce AMR limitations associated with typical fixed top module set ups. Traditional top modules are difficult to change and often draw their power directly from the AMR, reducing battery life and efficiency however, the AiCart has it’s own power system as well as smart capabilities, allowing the AiCart to work autonomously with minimal AMR intervention – reducing the number of required robots, making scaling operations much more cost effective.
The implementation of the AiCart provides several key advantages for organisations looking to enhance their internal logistics. By introducing a flexible system, operations gain the ability to adapt workflows quickly as production demands change. The modular design reduces the need for dedicated AMRs for every task, lowering capital expenditure while increasing utilisation of existing assets.
In addition to cost savings, the platform improves operational resilience. Workflows can be reconfigured without extensive engineering changes, allowing businesses to respond more effectively to new product lines, changing layouts, or evolving production requirements. This adaptability helps ensure that automation remains an enabler of growth rather than a fixed constraint.
The AiCart represents Applied Integration’s approach to solving real-world automation challenges through thoughtful engineering rather than one-size-fits-all solutions. By rethinking how autonomous vehicles operate, the platform introduces a more flexible and cost-efficient model for deploying AMR technology in demanding industrial environments.
The project demonstrates how innovation in supporting systems can unlock greater value from existing automation investments, enabling organisations to rethink their processes, reduce operational constraints, and move toward more adaptable and efficient logistics workflows.
