Speed and Precision or Compact to Power Pack? Drive Solutions for Laboratory Automation
Countless samples are tested daily in analytical laboratories. The benefits of automation in this area is obvious: They make it possible to achieve faster results, higher throughput, fewer errors and lower personnel costs.
Automation in the Life Sciences Industry
Through the use of the Andrew robot, Andrew Alliance aims to eliminate the possibility of human error and increase reproducibility and accuracy in scientific data - leading to conclusions and outcomes that can be trusted.
Using Modular and Mobile Robotic Solutions in The Biotech Industry
Our approach is to drive modularity and mobility into the core system architecture so that the automation is less static and monolithic, and can adapt to the changing nature of scientific research.
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Featured Product
OnLogic Karbon 520 Series of Scalable Rugged Computers
The OnLogic Karbon 520 Series of rugged computers is purpose-built to deliver unwavering performance and reliability in the face of extreme temperatures, vibration, and dynamic power conditions. Powered by the latest Intel® Core™ Ultra processors and validated by MIL-STD-810H testing, the Karbon 520 Series makes it possible to deploy dependable computing for AI at the edge, advanced automation, or critical remote and in-vehicle applications in even the most challenging environments.
Robotics and Automation - Featured Company
Palladyne AI Corp.
Welcome to Palladyne AI, where we unleash the power of robotics with our revolutionary AI software platform for the physical world. In a world where robots are progressing toward human-like adaptability, seamlessly navigating dynamic environments and conquering complex tasks with unparalleled efficiency, Palladyne AI stands as the beacon of innovation toward that future reality. Through our cutting-edge artificial intelligence (AI) software platform, we are redefining the boundaries of robotics. Our goal is simple: Help companies with autonomy in their robotics operations by addressing key challenges of traditional robotic deployments.
