The barriers to adopting physical AI are falling, and leaders will be well served by understanding the possibilities this shift enables.

Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...

Charles R. Goulding and Preeti Sulibhavi explain how manufacturing fundamentals, AI-driven design, and a renewed focus on reliability and workflow integration are defining the industry’s next phase.

Dieter Pletscher, global sales manager at Kassow Robots, shares his advice for overcoming common hurdles in deploying ...

In the years to come, robots will help offset worker shortages in health care, manufacturing and other industries, experts ...

Pittsburgh’s Hazelwood community has always been a place for builders, says Sonya Tilghman. “For generations, families have ...

Gugusse et l'Automate In the brief silent film, Méliès portrays a magician named Gugusse who is showing off an “automaton” in what looks like a proto–robot manufacturing facility. The automaton is ...

Treating compressed air as a design element is the key to unlocking the next generation of manufacturing innovation.

This transition is explored in “Embodied Artificial Intelligence in Healthcare: A Systematic Review of Robotic Perception, ...

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

Faced with the global challenge of climate change and both countries' ambitious carbon neutrality goals, China-Germany collaboration in renewable energy, energy efficiency, hydrogen technology and ...