A wave of recent research has brought robotic touch sensitivity closer to human fingertips than ever before, driven by ...

Humanoid robots are beginning to take on household tasks, showing how AI-powered machines could soon assist with chores in ...

Researchers report building photonic computing chips that use light pulses to train spiking neural networks on robotic-control-style benchmark tasks, aiming to shift more of the learning workload from ...

This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...

Picture a robot capable of changing its shape on demand, squishing, bending, or stretching to perform various tasks like navigating tight spaces or retrieving objects. While this may sound like ...

University of Minnesota Twin Cities researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research. In their ...

The microinjection robot detects embryos that are one-hundredth the size of a grain of rice, calculates a path, and automates the process. Credit: Andrew Alegria, University of Minnesota Twin Cities ...

Why it matters: Ever since Boston Dynamics first showcased its famous legged robots in 2013, numerous organizations have introduced machines that autonomously perform various professional and ...

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

Industrial robot adoption has reached a point of no return. Automated machinery has become an industry standard and will only become increasingly common as time goes on. As this trend continues, ...