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The new design could assist the elderly as they age in place at home.
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With a novel simulation method, robots can guess the weight, softness, and other physical properties of an object just by picking it up.
Featured
A robotic hand developed at EPFL can pick up 24 different objects with human-like movements that emerge spontaneously, thanks to compliant materials and structures rather than programming.
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This comprehensive article dives deep into the world of robotics, exploring the history, types, engineering components, applications, and future trends of robots, offering readers an in-depth understanding of how these remarkable machines work and shape our lives.
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TAGGED WITH social robotics
Everyone, guess how fast is it?
The new design could assist the elderly as they age in place at home.
The hospitality industry can leverage the gender characteristics of service robots to influence customers' decisions, according to new research from a team in the Penn State School of Hospitality Management.
Service robots have evolved from simple automated machines to intelligent adaptive systems that can navigate unpredictable environments and interact with humans.
TAGGED WITH soft robotics
Engineers at Princeton and North Carolina State University have combined ancient paper folding and modern materials science to create a soft robot that bends and twists through mazes with ease.
A research team from ETH Zurich and the University of Zurich (UZH) has developed a novel approach to treating spinal cord injuries: controllable microrobots deliver stem cells directly to the site of an injury, where they promote nerve cell regeneration.
Cornell engineers have developed a robotic collective that behaves less like a machine and more like a material that flows, reshapes and adapts to its environment without centralized control.
From hospital wards to crop fields, from microscopic swarms to biohybrid machines powered by fungi, robotics research at Cornell spans an astonishing range of scale, application and ambition.
Latest Posts
The new design could assist the elderly as they age in place at home.
With a novel simulation method, robots can guess the weight, softness, and other physical properties of an object just by picking it up.
A robotic hand developed at EPFL can pick up 24 different objects with human-like movements that emerge spontaneously, thanks to compliant materials and structures rather than programming.
3 minutes read
In addition to training future players, the technology could expand the capabilities of other humanoid robots, such as for search and rescue.
The hospitality industry can leverage the gender characteristics of service robots to influence customers' decisions, according to new research from a team in the Penn State School of Hospitality Management.
3 minutes read
Unlock unlimited sports potential
An edible robot made by EPFL scientists leverages a combination of biodegradable fuel and surface tension to zip around the water's surface, creating a safe - and nutritious - alternative to environmental monitoring devices made from artificial polymers and electronics.
3 minutes read
Explore how advanced computer vision technology transforms quality control in metal manufacturing and why it represents the industry's future.
ToF is a vital tool for autonomous systems, industrial automation applications, and additional domains.
In this episode, we explore the innovative fusion of robotics and culinary arts through the creation of RoboCake—an edible robotic wedding cake developed by researchers from EPFL
10 minutes read
A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.
Studying a leaping, body-bending parasite thinner than a human hair led Georgia Tech engineers to create a soft robot that can hop forward and backward.
4 minutes read
A new approach could enable intuitive robotic helpers for household, workplace, and warehouse settings.
The Fraunhofer Institute for Factory Operation and Automation IFF (Fraunhofer IFF) is working to overcome challenges to e-waste disposal.
Unitree H1 Deep Reinforcement Learning In-place Flipping Parameters: Weight: about 50kg Height: about 1.8m Actuator: electric motor
