MIT built a deep learning neural network to aid the design of soft robots, such as these iterations of a robotic elephant. | Photo Credit: MIT
There are some tasks traditional robots – the rigid and metallic kind – simply aren’t cut out for. Soft-bodied robots, on the other hand, may be able to interact with people more safely or slip into tight spaces with ease. But for robots to reliably complete their programmed duties, they need to know the whereabouts of all their body parts. That’s a tall task for a soft robot that can deform in a virtually infinite number of ways.
The post Deep learning optimizes sensor placement for soft robots appeared first on The Robot Report.
Article From: "Daniel Ackerman | MIT News" Read full article »
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