Machine learning & AI

Which way to the fridge? Common sense helps robots navigate

A robot travelling from point A to point B is more efficient if it understands that point A is the living room couch and point B is a refrigerator, even if it's in an unfamiliar place. That's the common sense idea behind ...

Robotics

Using deep learning to give robotic fingertips a sense of touch

Researchers at the University of Bristol have recently trained a deep-neural-network-based model to gather tactile information about 3-D objects. In their paper, published in IEEE Robotics & Automation Magazine, they applied ...

Hardware

A soft touch for robotic hardware

Robots can be made from soft materials, but the flexibility of such robots is limited by the inclusion of rigid sensors necessary for their control. Researchers created embedded sensors, to replace rigid sensors, that offer ...

Robotics

A system to reproduce different animal locomotion skills in robots

Researchers at Google Research and the University of California, Berkeley, have recently developed an imitation learning system that could enable a variety of agile locomotion behaviors in robots. Their technique, presented ...

Robotics

Deep reinforcement learning: Teaching robots like children

When children play with toys, they learn about the world around them—and today's robots aren't all that different. At UC Berkeley's Robot Learning Lab, groups of robots are working to master the same kinds of tasks that ...

Robotics

Teaching the iCub robot to express basic human emotions

As robots make their way into a variety of environments and start interacting with humans on a regular basis, they should be able to communicate with users as effectively as possible. Over the past decade or so, researchers ...

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