Stephanie Leonida's profile photo

Stephanie Leonida

London

Science and Technology Writer and Journalist at Freelance

Featured in: Favicon control.com

Articles

  • 5 days ago | control.com | Stephanie Leonida

    Amazon’s warehouse and logistics facility stow-and-pick robot, Vulcan, has now graduated to beta testing. The initial pilot trial for the Vulcan bots has progressed from a trial involving six bots to one involving 30 bots at Amazon’s fulfillment center in Spokane, Washington. This progressive testing signifies the evolution of simple to intelligent automated warehousing and logistics operations.

  • 1 week ago | control.com | Stephanie Leonida

    Teradyne Robotics (TR) is partnering with Honeywell to enhance automation solutions and promote their adoption within warehousing and logistics businesses striving to keep up with consumer goods demands.

  • 2 weeks ago | control.com | Stephanie Leonida

    Vention announced the commercial availability of its AI-driven, Bell-connectivity-enhanced third-generation industrial automation controller, MachineMotion AI. The latest controller iteration boasts integrated Bell and WiFi connectivity, secure cloud connectivity, compatibility with top-tier robotics brands, hassle-free programming, plug-and-play integration, a compact design, and simulation capabilities.

  • 2 weeks ago | control.com | Stephanie Leonida

    Pioneering researchers from Sudbury’s Laurentian University and Shanghai’s International Fashion Education Centre are blazing a new path, employing AI to reverse-engineer fabric material patterns, making machine-readable information for instructing robots in creating textiles.

  • 3 weeks ago | control.com | Stephanie Leonida

    Sonair steps out of stealth mode to bring industrial automation and robotics businesses a game-changing technology, moving away from light detection and ranging (on which LiDAR relies) to using sound waves to detect/avoid objects. The novel technology, ADAR (acoustic detection and ranging), is intended to deliver safe navigation of autonomous mobile robots (AMRs) and vehicles while lowering integration costs and reducing power consumption.

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