HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

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HyperAI초신경

Robot Manipulation On Rlbench

평가 지표

Input Image Size

Succ. Rate (18 tasks, 100 demo/task)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Input Image Size	Succ. Rate (18 tasks, 100 demo/task)	Paper Title	Repository
Image-BC CNN	128	1.3	Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
ARP+	-	86.0	Autoregressive Action Sequence Learning for Robotic Manipulation
C2FARM-BC (Evaluated in PerAct)	128	20.1	Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation
Act3D	256	65	Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
Auto-λ	-	-	Auto-Lambda: Disentangling Dynamic Task Relationships
RVT	128	62.9	RVT: Robotic View Transformer for 3D Object Manipulation
3D-LOTUS	256	83.1	Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy	-
PerAct (Evaluated in RVT)	128	49.4	Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
PerAct	128	42.7	Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
Hiveformer	-	45.3	Instruction-driven history-aware policies for robotic manipulations
PolarNet	128	46.4	PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation
SAM2Act	128	86.8	SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation
3D Diffuser Actor	256	81.3	3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
Image-BC VIT	128	1.3	Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
RVT-2	128	81.4	RVT-2: Learning Precise Manipulation from Few Demonstrations

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