← Robot Manipulation Generalization

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GEMBench

아카이브 평가 6건 · 마지막 적재/변경 2026-10-30

원본 데이터셋 링크 1

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
3D-LOTUS++	Average Success Rate (L1) 68.7±0.6 Average Success Rate (L2) 64.5±0.9 Average Success Rate (L3) 41.5±1.8 Average Success Rate (L4) 17.4±0.4 Average Success Rate 48.0	Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy 2024-10-02	코드 1
3D-LOTUS	Average Success Rate (L1) 94.3±1.4 Average Success Rate (L2) 49.9±2.2 Average Success Rate (L3) 38.1±1.1 Average Success Rate (L4) 0.3±0.3 Average Success Rate 45.7	Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy 2024-10-02	코드 1
3D diffuser actor	Average Success Rate (L1) 91.9±0.8 Average Success Rate (L2) 43.4±2.8 Average Success Rate (L3) 37.0±2.2 Average Success Rate (L4) 0.0±0.0 Average Success Rate 44.0	3D Diffuser Actor: Policy Diffusion with 3D Scene Representations 2024-02-18	코드 1
RVT-2	Average Success Rate (L1) 89.1±0.8 Average Success Rate (L2) 51.0±2.3 Average Success Rate (L3) 36.0±2.2 Average Success Rate (L4) 0.0±0.0 Average Success Rate 44.0	RVT-2: Learning Precise Manipulation from Few Demonstrations 2024-06-12	코드 1
PolarNet	Average Success Rate (L1) 77.7±0.9 Average Success Rate (L2) 37.1±1.4 Average Success Rate (L3) 38.5±1.7 Average Success Rate (L4) 0.1±0.2 Average Success Rate 38.4	PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation 2023-09-27	코드 1
Hiveformer	Average Success Rate (L1) 60.3±1.5 Average Success Rate (L2) 26.1±1.4 Average Success Rate (L3) 35.1±1.7 Average Success Rate (L4) 0.0±0.0 Average Success Rate 30.4	Instruction-driven history-aware policies for robotic manipulations 2022-09-11	코드 1 · 코드 2