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      <managingEditor>fjvbn2003@gmail.com (Youngju Kim)</managingEditor>
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    <title>Robot Safety and Alignment — Trusting Powerful Robots</title>
    <link>https://www.youngju.dev/blog/ai-papers/2026-06-29-robot-safety-and-alignment.en</link>
    <description>How can we trust increasingly powerful robots. We take a balanced look at physical safety, constrained reinforcement learning and safety layers, handling distribution shift, human-robot collaboration safety, verification and standards, and the alignment challenge of embodied AI.</description>
    <pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
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    <guid>https://www.youngju.dev/blog/ai-papers/2026-06-29-robot-safety-and-alignment.ja</guid>
    <title>ロボットの安全とアラインメント — 強力なロボットを信頼するには</title>
    <link>https://www.youngju.dev/blog/ai-papers/2026-06-29-robot-safety-and-alignment.ja</link>
    <description>ますます強力になるロボットをどう信頼できるのか。物理的安全、制約付き強化学習と安全層、分布外への対応、人とロボットの協働安全、検証と標準、そして身体性AIのアラインメント課題までをバランスよく見ていきます。</description>
    <pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
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    <guid>https://www.youngju.dev/blog/ai-papers/2026-06-29-robot-safety-and-alignment</guid>
    <title>로봇 안전과 정렬 — 강력한 로봇을 신뢰하려면</title>
    <link>https://www.youngju.dev/blog/ai-papers/2026-06-29-robot-safety-and-alignment</link>
    <description>점점 강력해지는 로봇을 어떻게 신뢰할 수 있을까요. 물리적 안전, 제약 강화학습과 안전층, 분포 이탈 대응, 사람-로봇 협업 안전, 검증과 표준, 그리고 임바디드 AI의 정렬 과제까지 균형 있게 살펴봅니다.</description>
    <pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>ai-papers</category><category>robotics</category><category>safety</category><category>alignment</category><category>reinforcement-learning</category><category>human-robot-interaction</category>
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