AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.
Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...
The motion control market is expanding from $16 billion in 2024 to a projected $23 billion by 2031, driven by AI-powered adaptive systems and smart conveyance technology that automatically optimize ...
Imagine a home that not only responds to your commands but also sees, understands, and acts on its own. With the integration of AI vision into the Home Assistant platform, this futuristic scenario is ...
The SwitchBot AI Hub is the first edge hub to feature integrated VLM capabilities. You can pair it with SwitchBot’s range of ...
SwitchBot’s AI Hub brilliantly combines OpenClaw support with high-end AI analysis and seamless automation. It is more than just a piece of hardware; it’s a truly conversational, proactive assistant ...
This launch builds on the introduction of Consensus AI in October and reinforces the company's transition into an AI-first ...
SwitchBot unveils its AI Hub: local AI agent compatible with OpenClaw, video analysis via VLM, NVR Frigate for up to 8 ...
What if your home could not only respond to your needs but also anticipate them with uncanny precision? Imagine a morning where your blinds adjust to the perfect angle for natural light, your ...
For semiconductor, photonics, laser processing, industrial automation, microscopy and life sciences applications. New brochure for High-Precision Motion Control, Nanopositioning Automation & Piezo ...
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