{"id":203388,"date":"2021-03-16T15:38:10","date_gmt":"2021-03-16T12:38:10","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/this-rad-ass-exoskeleton-uses-ai-to-walk-for-you\/"},"modified":"2021-03-16T15:38:10","modified_gmt":"2021-03-16T12:38:10","slug":"this-rad-ass-exoskeleton-uses-ai-to-walk-for-you","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/this-rad-ass-exoskeleton-uses-ai-to-walk-for-you\/","title":{"rendered":"#This rad-ass exoskeleton uses AI to walk for you"},"content":{"rendered":"

“#This rad-ass exoskeleton uses AI to walk for you<\/strong>”<\/p>\n

\n Engineers at Canada\u2019s University of Waterloo are developing AI-powered exoskeleton legs that can walk autonomously.<\/p>\n

The system captures a user\u2019s surroundings through a\u00a0camera. Computer vision and deep learning algorithms\u00a0then analyze the scene\u00a0to determine the best movements for the upcoming terrain.<\/p>\n

\u201cOur control app<\/a>roach wouldn\u2019t necessarily require human thought,\u201d said\u00a0project lead\u00a0Brokoslaw Laschowski in a press release. \u201cSimilar to autonomous cars that drive themselves, we\u2019re designing autonomous exoskeletons that walk for themselves.\u201d<\/p>\n

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Credit: University of Waterloo<\/figcaption>
<\/a>The system adapts its movements to a user\u2019s environment.<\/figcaption><\/figure>\n

The devices could give people with impaired mobility a more natural control system than current exoskeletons, which are typically operated through smartphone apps or joysticks.<\/p>\n

\u201cThat can be inconvenient and cognitively demanding,\u201d said\u00a0Laschowski. \u201cEvery time you want to perform a new locomotor activity, you have to stop, take out your smartphone and select the desired mode.\u201d<\/p>\n

[Read: How do you build a\u00a0pet<\/span>-friendly gadget? We asked experts and animal owners]<\/em><\/p>\n

The researchers overcame these limitations by fitting\u00a0exoskeleton users with wearable cameras. AI software then processes the video to spot stairs, doors, and other features in their surroundings.<\/p>\n

The system still needs further refinement before the exoskeletons are fully-functional. The next stage of the project will involve sending instructions to motors so that the legs can operate across uneven terrain and avoid obstacles. The researchers also plan to boost their battery lives by using human-motion to self-charge the devices.<\/p>\n

But the system could prove far more convenient than most existing exoskeletons \u2014 as long as it\u2019s not too easy to hack.<\/p>\n

You can read more about the project\u00a0in the journal IEEE Transactions on Medical Robotics and Bionics<\/a>.<\/span><\/p>\n

\n Published March 16, 2021 \u2014 12:38 UTC\n <\/p>\n<\/p><\/div>\n