Physical AI is reshaping manufacturing by enabling robots to adapt and learn in real-world environments, enhancing efficiency and flexibility in production processes.
Read Full Story →
Physical AI is reshaping manufacturing by enabling robots to adapt and learn in real-world environments, enhancing efficiency and flexibility in production processes.
Latency in collaborative assembly cells poses safety risks. Edge-first AI architectures reduce latency, enhancing safety and efficiency in human-robot collaboration.
NJIT students participated in a one-day design sprint to create assistive technology prototypes, showcasing the potential for rapid innovation in accessibility solutions. The event highlights the use of CAD, 3D printing, and modular design, relevant to the AECM industry's push for inclusive and sust
The April 2026 Gaps Progress Report reveals ongoing standardization challenges in additive manufacturing, crucial for reliable production across sectors like aerospace and medical devices.
GFT Technologies has launched AI-driven robotic arms that not only detect but also remove defective parts from auto production lines, addressing a key industry challenge and signaling a shift towards more automated manufacturing processes.
The March/April 2026 issue of Plant Engineering explores the increasing role of AI and automation in manufacturing, addressing key maintenance challenges and the evolving landscape of operational technologies.
AI and sensing solutions are transforming manufacturing, improving efficiency and decision-making on factory floors. This shift holds significant implications for the AECM industry, offering enhanced productivity and reduced operational costs.
AI orchestration is transforming process manufacturing, offering significant opportunities for the AECM industry to enhance efficiency and competitiveness. With 64% of manufacturers already exploring AI, the shift towards integrated AI systems is crucial for addressing market complexities and workfo
XELA Robotics enhances its uSkin sensors with magnetic interference compensation and CAN FD protocol, promising improved efficiency and precision for industrial robotics.
