China's new digital ID system for humanoid robots aims to standardize management and improve safety, impacting AECM industries with enhanced oversight and reduced reliance on foreign tech.
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China's new digital ID system for humanoid robots aims to standardize management and improve safety, impacting AECM industries with enhanced oversight and reduced reliance on foreign tech.
Application engineering in assembly systems is transforming manufacturing, focusing on efficiency, cost savings, and sustainability. With companies like Atlas Copco at the forefront, the role of engineering in optimizing assembly lines is crucial for reducing downtime and enhancing precision.
Figure AI partners with Catalyst Brands to deploy humanoid robots in logistics, signaling a major shift in warehouse automation and impacting the AECM industry.
Virginia Tech researchers have developed a new control mechanism for soft robotics using reservoir computing, promising significant advancements in robotic applications for industries like agriculture and infrastructure inspection.
Figure AI has increased its humanoid robot production from one unit per day to one per hour, marking a significant advancement in manufacturing scale. This development could transform automation in the AECM industry, offering new efficiencies and cost reductions.
Festo has introduced its HPPH two-finger pneumatic gripper, enhancing cobot applications by integrating control and safety functions directly into the gripper body, reducing weight and complexity.
Pony.ai's robotaxi revenue has surged nearly fivefold in the first quarter of 2026, leading to plans for expanding its fleet to over 3,500 vehicles globally by the end of the year. This growth highlights the commercial viability of autonomous vehicles and presents new opportunities and challenges fo
Corsair launches AI-focused workstations and servers, enhancing engineering capabilities. These systems support tasks like model training and computer vision, vital for the AECM industry.
The shift from automation to autonomy in digital infrastructure is crucial for the AECM industry, addressing the growing complexity and risk associated with modern systems.
