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慣性信号とディープラーニングを用いた従順なロボットハンドのスリップ検出

Miranda Cravetz1, Purva Vyas1, Cindy Grimm1

  • 1Collaborative Robotics and Intelligent Systems (CoRIS) Institute, Oregon State University, Corvallis, OR, United States.

Frontiers in robotics and AI
|January 5, 2026
PubMed
まとめ

No abstract available in PubMed .

キーワード:
服従する手コンタクトに富んだ操作捕らえる慣性測定単位スリップ検出

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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence categorization, a person will feel...
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