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한국어(KO) Lerrel Pinto (@LerrelPinto) 스마트 글래스로 수집한 인간 조작 데이터를 이용해 로봇 손 데이터를 따로 모으지 않고도 휴머노이드/다중 손가락 로봇 손을 학습하는 HUG 접근을 소개한다. 인간 조작 모델을 학습한 뒤 로봇 손에 리타게팅하는 방식으로, 로봇 데이터 수집

Robotic hands trained on human data via smart glasses

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new approach called HUG that trains humanoid and multi-finger robotic hands using human manipulation data collected via smart glasses. This method bypasses the need for separate robotic hand data collection by first training a human manipulation model and then retargeting it to robotic hands. This technique has the potential to significantly reduce the costs associated with acquiring robotic data. AI

IMPACT Reduces cost and complexity of training robotic hands by leveraging human manipulation data.

RANK_REASON The cluster describes a new research approach (HUG) for training robotic hands using human manipulation data, which is a research milestone. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Robotic hands trained on human data via smart glasses

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The cluster describes a new research approach (HUG) for training robotic hands using human manipulation data, which is a research milestone. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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High
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131 days old
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COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 한국어(KO) · [email protected] ·

    Lerrel Pinto (@LerrelPinto) introduces the HUG approach to train humanoid/multi-finger robot hands without collecting separate robot hand data, using human manipulation data collected by smart glasses. This method involves training a human manipulation model and then retargeting it to robot hands, eliminating the need for robot data collection.

    Lerrel Pinto (@LerrelPinto) 스마트 글래스로 수집한 인간 조작 데이터를 이용해 로봇 손 데이터를 따로 모으지 않고도 휴머노이드/다중 손가락 로봇 손을 학습하는 HUG 접근을 소개한다. 인간 조작 모델을 학습한 뒤 로봇 손에 리타게팅하는 방식으로, 로봇 데이터 수집 비용을 크게 줄일 가능성이 있다. https:// x.com/LerrelPinto/status/20669 27507652383006 # robotics # humanoid # imitationlearning # ai…

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