Non-Factory

Courtesy of Wienbruch R et al, Sci Rep 15, 20169 (2025)
Figure 1: The lab automation system uses 3D reconstruction for planning robot's motion. The red line is the shortest distance, while the green pathway represents the obstacle-free pathway.
The solution from university researchers has a user-friendly GUI setup, 3D environment modeling, and deep learning-enabled display recognition, making automation accessible for...
Oct. 9, 2025
Jiarong Hong Lab, University of Minnesota
Figure 1: Autonomous drones capture images of a smoke plume over time.
Sept. 16, 2025
Courtesy of euctecma
Figure 1: euctecma inspects cold storage boxes used in the transport of temperature-sensitive items such as food or medicine.
Sept. 12, 2025
Courtesy of John Deere
Figure 1: Viewing this problem as an opportunity, innovators have developed automated approaches to weeding—such as the machine pictured here from John Deere—that use machine vision, such as 3D imaging, and deep learning.
Aug. 13, 2025
All images/Advanced Navigation
Figure 1: Three Hydrus drones descending to the sea floor at Hall Bank coral reef, off the coast of Western Australia.
July 3, 2025
All images/figures courtesy of Edmund Optics
Fig. 1. System Throughput
June 2, 2025
Courtesy of Automation Intelligence
automation_intelligence_logo_fov_third_story
May 19, 2025
ID 356933713 | Machine © Vladimir Zlotnik | Dreamstime.com
Figure 1: Distribution yards have been pain points in the supply chain, in many cases because of delays in the movement of freight in and out of the yard. However, recent innovations using AI-assisted solutions may be the key to loosening up the bottleneck.
April 14, 2025
Courtesy of Carbon Robotics
Figure 1: Carbon Robotics markets an autonomy kit—including machine vision components and deep learning algorithms—as well as a self-contained system to kill weeds using lasers.
April 9, 2025

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