Robots have evolved beyond repetitive tasks to incorporate AI, machine learning, and sensor fusion technologies that enable ...
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The challenges robots face and why they still struggle
In the glittering panorama of technological advancement, robots are often heralded as the zenith of modern innovation. Yet, despite the ...
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 ...
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 ...
Interesting Engineering on MSN
US researchers build fall-safe biped robots to advance real-world reinforcement learning
Researchers in the US developed bipedal robots with a new design, the HybridLeg platform, ...
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 ...
While it's not ready to join the workforce yet, Atlas, an AI-powered humanoid, is learning how to do human tasks.
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 ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
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, ...
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