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10 Jun 2026  |  Global  |  Frost Radar

Frost Radar™: AR-Centric Augmented Connected Worker Platforms, 2026

A Benchmarking System to Spark Companies to Action - Innovation That Fuels New Deal Flow and Growth Pipelines

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As manufacturers confront the realities of a skilled labor shortage, augmented connected worker (ACW) platforms can be a key ally in training a new workforce and strengthening employee retention through comprehensive upskilling, skills management tools, and assistance throughout workers’ shifts. Platforms that have a strong foundation of augmented ...

Manufacturers are confronting a skilled labor shortage. As they try to find a solution, augmented connected worker (ACW) platforms can become a key ally in training the new workforce and strengthening employee retention through comprehensive upskilling capabilities, skills management tools, and assistance throughout their shifts. ACW platforms have...

This study examines the emerging landscape of neuromorphic computing and its role in enabling low-power, real-time, brain-inspired intelligence across edge and autonomous systems. It reviews advancements in spiking neural networks, memristor-based computing in memory, event-driven vision sensors, and hybrid neuromorphic and conventional architectur...

This Frost Radar™ benchmarks supervisory control and data acquisition (SCADA) platforms for industrial control environments, evaluating leading vendors on innovation and growth. The analysis examines how platforms are evolving to support brownfield modernization, secure remote access, multisite standardization, open architectures, IT/OT integration...

Collaborative robotics is entering a new phase as advances in artificial intelligence, multimodal perception, force and tactile sensing, adaptive control, and robot learning enable cobots to move beyond fixed, pre-programmed tasks toward more context-aware and responsive automation. This Frost Radar™ evaluates 11 companies that are shaping the emer...

As manufacturers and industrial operators try to make operational data more accessible, interoperable, secure, and usable across enterprise environments, organizations are investing in industrial connectivity software that can connect heterogeneous OT assets, bridge legacy protocols, support edge-to-cloud data flows, and enable scalable industrial ...

This study focuses on heterogeneous computing architectures for automotive and robotics applications, examining how centralized and zonal compute architectures, heterogeneous SoCs integrating CPUs, GPUs, NPUs, DSPs, FPGAs, and dedicated safety islands, as well as robotics edge-AI controllers and mixed-criticality computing platforms, are enabling t...

This report provides a comprehensive analysis of the emerging microrobotics landscape in precision medicine with a focused lens on minimally invasive surgery. It examines the technological evolution of microrobots from magnetically guided prototypes to intelligent, sensor-rich systems capable of targeted interventions at submillimeter scales. The r...

The advancement of physical and embodied AI is facilitating a shift away from traditional repeatable-motion automation toward robots that can perceive, make decisions, and act in unpredictable real-world conditions. This will enable highly dexterous manipulation that exceeds conventional pick-and-place automation. As learning-based policies, founda...