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			<title>피지컬 AI Lab</title>
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			<guid><![CDATA[https://physicalailab.io/humanoid-machine-tending-tooling-interface/]]></guid>
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			<title>휴머노이드의 공구·Machine Tending 인터페이스: 사람용 공구와 전용 지그</title>
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			<guid><![CDATA[https://physicalailab.io/general-purpose-robot-adaptation-repeatability/]]></guid>
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			<title>범용 로봇을 측정하는 법: 작업 수보다 적응시간·환경변화·반복 성공률</title>
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			<guid><![CDATA[https://physicalailab.io/humanoid-teleoperation-operator-robot-ratio/]]></guid>
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			<title>공장 휴머노이드 원격개입 운영: 운영자 1명이 몇 대를 지원할 수 있나</title>
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			<guid><![CDATA[https://physicalailab.io/loaded-humanoid-loco-manipulation-test/]]></guid>
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			<title>하중을 든 휴머노이드의 Loco-Manipulation 시험</title>
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			<guid><![CDATA[https://physicalailab.io/humanoid-maintainability-joint-hand-spares/]]></guid>
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			<title>휴머노이드 정비성 설계: 모듈 관절·손 교체·세척·일일점검·예비부품</title>
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			<guid><![CDATA[https://physicalailab.io/humanoid-worksite-readiness-assessment/]]></guid>
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			<title>휴머노이드 작업장 적합성 점검: 도달거리·카트·통로·바닥·문·조명·안전구역</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:08:14 +0000]]></pubDate>
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			<guid><![CDATA[https://physicalailab.io/five-finger-robot-hand-vs-industrial-gripper/]]></guid>
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			<title>5지 로봇 손 vs 산업용 그리퍼: 내구성·교체시간·촉각·성공률</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:07:57 +0000]]></pubDate>
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			<guid><![CDATA[https://physicalailab.io/biped-vs-wheeled-humanoid-selection/]]></guid>
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			<title>이족보행 vs 바퀴형 휴머노이드: 계단·에너지·속도·안정성·정비성</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:07:43 +0000]]></pubDate>
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			<guid><![CDATA[https://physicalailab.io/humanoid-cobot-mobile-manipulator-amr-selection/]]></guid>
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			<title>휴머노이드 vs 협동로봇 vs 모바일 매니퓰레이터 vs AMR: 몸을 고르는 법</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:07:28 +0000]]></pubDate>
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			<guid><![CDATA[https://physicalailab.io/humanoid-fat-sat-acceptance-test-criteria/]]></guid>
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			<title>휴머노이드 FAT·SAT 인수시험: 반복·낙상·개입·사이클타임·복구 합격 기준</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:07:14 +0000]]></pubDate>
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			<guid><![CDATA[https://physicalailab.io/human-ai-robot-work-allocation-evaluation/]]></guid>
			<link><![CDATA[https://physicalailab.io/human-ai-robot-work-allocation-evaluation/]]></link>
			<title>사람·AI·로봇 작업 배분: 처리량·작업부하·신뢰·override 평가</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:06:57 +0000]]></pubDate>
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			<guid><![CDATA[https://physicalailab.io/high-mix-low-volume-automation-changeover-yield/]]></guid>
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			<title>High-Mix Low-Volume 자동화의 전환시간과 첫 제품 합격률</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:06:43 +0000]]></pubDate>
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			<guid><![CDATA[https://physicalailab.io/robot-cell-digital-twin-vvuq-uncertainty/]]></guid>
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			<title>로봇 셀 디지털 트윈 VVUQ: 정확도·지연·불확실성 검증</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:06:31 +0000]]></pubDate>
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			<guid><![CDATA[https://physicalailab.io/factory-edge-ai-capacity-sizing-redundancy/]]></guid>
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			<title>공장 Edge AI 용량 산정: 카메라·GPU·지연·이중화·오프라인 운전</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:06:20 +0000]]></pubDate>
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			<guid><![CDATA[https://physicalailab.io/factory-it-ot-dataops-plc-tag-context/]]></guid>
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			<title>공장 IT/OT DataOps: PLC 태그를 자산·공정·시간 맥락이 있는 AI 데이터로 바꾸는 법</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:06:06 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/industrial-ai-agent-plc-mes-scada-boundary/]]></guid>
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			<title>Industrial AI Agent와 PLC·MES·SCADA의 경계</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:05:51 +0000]]></pubDate>
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			<guid><![CDATA[https://physicalailab.io/closed-loop-ai-quality-control-change-authorization/]]></guid>
			<link><![CDATA[https://physicalailab.io/closed-loop-ai-quality-control-change-authorization/]]></link>
			<title>검사 결과로 공정 조건을 바꾸는 폐루프 품질제어의 허용 조건</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:05:37 +0000]]></pubDate>
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			<guid><![CDATA[https://physicalailab.io/ai-vision-inspection-acceptance-test-drift/]]></guid>
			<link><![CDATA[https://physicalailab.io/ai-vision-inspection-acceptance-test-drift/]]></link>
			<title>AI 비전검사 인수시험: 과검·미검·골든 샘플·드리프트</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:05:20 +0000]]></pubDate>
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			<guid><![CDATA[https://physicalailab.io/ai-robot-cell-reference-architecture/]]></guid>
			<link><![CDATA[https://physicalailab.io/ai-robot-cell-reference-architecture/]]></link>
			<title>AI 로봇 셀 참조 아키텍처: 비전·AI 플래너·컨트롤러·Safety PLC·MES</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:05:05 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/autonomous-manufacturing-maturity-levels/]]></guid>
			<link><![CDATA[https://physicalailab.io/autonomous-manufacturing-maturity-levels/]]></link>
			<title>Autonomous Manufacturing 성숙도 5단계: 감시·추천·승인·실행·학습</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:04:51 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/factory-robot-log-deidentification-pipeline/]]></guid>
			<link><![CDATA[https://physicalailab.io/factory-robot-log-deidentification-pipeline/]]></link>
			<title>공장 로봇 로그 비식별화: 얼굴·화면·음성·제품설계·공정기밀 제거</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:04:36 +0000]]></pubDate>
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			<guid><![CDATA[https://physicalailab.io/long-horizon-robot-data-annotation-quality-control/]]></guid>
			<link><![CDATA[https://physicalailab.io/long-horizon-robot-data-annotation-quality-control/]]></link>
			<title>긴 작업 로봇 데이터 주석: 언어 명령·서브태스크·성공 구간 자동 라벨링과 검수</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:04:21 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/human-motion-humanoid-joint-retargeting/]]></guid>
			<link><![CDATA[https://physicalailab.io/human-motion-humanoid-joint-retargeting/]]></link>
			<title>인간 동작을 휴머노이드 관절로 리타기팅하는 순서</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:04:03 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/teleoperation-latency-scale-clutch-calibration/]]></guid>
			<link><![CDATA[https://physicalailab.io/teleoperation-latency-scale-clutch-calibration/]]></link>
			<title>텔레옵 지연·스케일·클러치 보정 시험: 좋은 시범이 학습에서 망가지는 이유</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:03:47 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/robot-teleoperation-interface-selection/]]></guid>
			<link><![CDATA[https://physicalailab.io/robot-teleoperation-interface-selection/]]></link>
			<title>로봇 텔레옵 인터페이스 비교: 리더-팔로워·VR·UMI·모션수트</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:03:29 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/robot-data-collection-rig-time-sync-design/]]></guid>
			<link><![CDATA[https://physicalailab.io/robot-data-collection-rig-time-sync-design/]]></link>
			<title>로봇 데이터 수집 리그 설계: 카메라·관절·행동·힘·촉각·시간동기</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:03:14 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/open-robot-dataset-comparison-2026/]]></guid>
			<link><![CDATA[https://physicalailab.io/open-robot-dataset-comparison-2026/]]></link>
			<title>오픈 로봇 데이터셋 비교 2026: Open X-Embodiment·DROID·BridgeData V2·AgiBot World·LeRobot</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:03:00 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/robot-spatial-reasoning-evaluation-suite/]]></guid>
			<link><![CDATA[https://physicalailab.io/robot-spatial-reasoning-evaluation-suite/]]></link>
			<title>로봇 공간 추론 평가: pointing·3D detection·multi-view·success detection</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:02:48 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/robot-world-model-failure-test-catalog/]]></guid>
			<link><![CDATA[https://physicalailab.io/robot-world-model-failure-test-catalog/]]></link>
			<title>월드모델 실패 모드: 물체 영속성·접촉·척도·장기 일관성·다중 에이전트</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:02:34 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/action-conditioned-world-model-mpc-robot-control/]]></guid>
			<link><![CDATA[https://physicalailab.io/action-conditioned-world-model-mpc-robot-control/]]></link>
			<title>Action-Conditioned World Model과 MPC: 후보 행동을 상상하고 고르는 법</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:02:17 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/real-to-sim-to-real-task-world-pipeline/]]></guid>
			<link><![CDATA[https://physicalailab.io/real-to-sim-to-real-task-world-pipeline/]]></link>
			<title>Real-to-Sim-to-Real: 실제 작업 하나를 훈련 세계로 바꾸는 법</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:02:00 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/vggt-vs-spatiallm-reconstruction-scene-understanding/]]></guid>
			<link><![CDATA[https://physicalailab.io/vggt-vs-spatiallm-reconstruction-scene-understanding/]]></link>
			<title>VGGT와 SpatialLM 차이: 3D 복원과 구조화 장면 이해</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:01:45 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/robot-3d-depth-point-map-gaussian-splat-mesh/]]></guid>
			<link><![CDATA[https://physicalailab.io/robot-3d-depth-point-map-gaussian-splat-mesh/]]></link>
			<title>Depth·Point Map·Gaussian Splat·Mesh 차이: 로봇용 3D 표현 선택</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:01:29 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/spatial-intelligence-robot-3d-reasoning-action/]]></guid>
			<link><![CDATA[https://physicalailab.io/spatial-intelligence-robot-3d-reasoning-action/]]></link>
			<title>Spatial Intelligence 뜻: 3D로 보고·추론하고·행동하는 로봇 AI</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:01:14 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/v-jepa-cosmos-genie-world-model-comparison/]]></guid>
			<link><![CDATA[https://physicalailab.io/v-jepa-cosmos-genie-world-model-comparison/]]></link>
			<title>잠재 월드모델과 생성형 세계 시뮬레이터 차이: V-JEPA·Cosmos·Genie</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:00:57 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/data-center-drilling-robot-bim-to-field-qa/]]></guid>
			<link><![CDATA[https://physicalailab.io/data-center-drilling-robot-bim-to-field-qa/]]></link>
			<title>자율 드릴링 로봇이 데이터센터 건설을 바꾸는 방식</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:00:42 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/data-center-inspection-robot-sensors-acceptance/]]></guid>
			<link><![CDATA[https://physicalailab.io/data-center-inspection-robot-sensors-acceptance/]]></link>
			<title>데이터센터 점검 로봇은 무엇을 보고 듣고 측정하는가</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:00:27 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://physicalailab.io/ai-data-center-epms-bms-dcim-agent-boundaries/]]></guid>
			<link><![CDATA[https://physicalailab.io/ai-data-center-epms-bms-dcim-agent-boundaries/]]></link>
			<title>EPMS·BMS·DCIM과 AI 에이전트가 만드는 자율 운영 스택</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 10:00:13 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://physicalailab.io/ai-data-center-integrated-systems-commissioning/]]></guid>
			<link><![CDATA[https://physicalailab.io/ai-data-center-integrated-systems-commissioning/]]></link>
			<title>AI 데이터센터 커미셔닝: 전기·냉각·통합시스템시험</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 09:59:59 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://physicalailab.io/ai-factory-bim-cfd-digital-twin-validation/]]></guid>
			<link><![CDATA[https://physicalailab.io/ai-factory-bim-cfd-digital-twin-validation/]]></link>
			<title>BIM·CFD·디지털 트윈으로 AI 팩토리를 건설 전에 검증하는 법</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 09:59:52 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/prefabricated-modular-ai-data-center-schedule-risk/]]></guid>
			<link><![CDATA[https://physicalailab.io/prefabricated-modular-ai-data-center-schedule-risk/]]></link>
			<title>프리패브·모듈러 AI 데이터센터가 구축기간을 줄이는 방법</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 09:59:43 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/ai-data-center-waste-heat-reuse-feasibility/]]></guid>
			<link><![CDATA[https://physicalailab.io/ai-data-center-waste-heat-reuse-feasibility/]]></link>
			<title>AI 데이터센터 폐열 회수는 언제 현실적인가</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 09:59:35 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://physicalailab.io/pue-wue-joint-data-center-efficiency-evaluation/]]></guid>
			<link><![CDATA[https://physicalailab.io/pue-wue-joint-data-center-efficiency-evaluation/]]></link>
			<title>PUE와 WUE를 함께 봐야 하는 이유</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 09:59:27 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://physicalailab.io/liquid-cooling-water-use-closed-loop-heat-rejection/]]></guid>
			<link><![CDATA[https://physicalailab.io/liquid-cooling-water-use-closed-loop-heat-rejection/]]></link>
			<title>액체냉각은 정말 물을 많이 쓰는가: 폐쇄루프와 열방출 방식</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 09:59:18 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://physicalailab.io/data-center-liquid-cooling-retrofit-checklist/]]></guid>
			<link><![CDATA[https://physicalailab.io/data-center-liquid-cooling-retrofit-checklist/]]></link>
			<title>기존 데이터센터를 액체냉각으로 전환할 때 확인할 항목</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 09:59:10 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://physicalailab.io/cold-plate-rdhx-immersion-cooling-selection/]]></guid>
			<link><![CDATA[https://physicalailab.io/cold-plate-rdhx-immersion-cooling-selection/]]></link>
			<title>콜드플레이트·RDHx·침지냉각 비교</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 09:59:02 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://physicalailab.io/direct-to-chip-cooling-loop-cdu-facility-water/]]></guid>
			<link><![CDATA[https://physicalailab.io/direct-to-chip-cooling-loop-cdu-facility-water/]]></link>
			<title>Direct-to-Chip 냉각 전체 구조: 콜드플레이트부터 CDU와 시설수까지</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 09:58:53 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://physicalailab.io/ai-network-copper-optics-cpo-power-thermal/]]></guid>
			<link><![CDATA[https://physicalailab.io/ai-network-copper-optics-cpo-power-thermal/]]></link>
			<title>구리 케이블·광모듈·CPO 전환이 AI 네트워크 전력과 열에 미치는 영향</title>
			<pubDate><![CDATA[Fri, 28 Aug 2026 09:58:45 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://physicalailab.io/articles/]]></guid>
			<link><![CDATA[https://physicalailab.io/articles/]]></link>
			<title>글 목록</title>
			<pubDate><![CDATA[Fri, 03 Jul 2026 18:04:16 +0000]]></pubDate>
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