Papers with Code 아카이브

Robot Manipulation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

3

평가표

5

보존된 평가 기록

60

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/google-deepmind/tapnet

RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

https://github.com/griffbr/VOSVS

Mobile Robot Manipulation using Pure Object Detection

https://github.com/guhur/hiveformer

Instruction-driven history-aware policies for robotic manipulations

https://github.com/harrytea/detect-anyshadow

Segment Anything

https://github.com/huggingface/transformers

Segment Anything

https://github.com/hz-ants/SilhoNet

SilhoNet: An RGB Method for 6D Object Pose Estimation

https://github.com/ibaiGorordo/ONNX-SAM2-Segment-Anything

SAM 2: Segment Anything in Images and Videos

https://github.com/idea-research/grounded-sam-2

SAM 2: Segment Anything in Images and Videos

https://github.com/intuitive-robots/MoDE_Diffusion_Policy

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning

https://github.com/intuitive-robots/beso

Goal-Conditioned Imitation Learning using Score-based Diffusion Policies

https://github.com/ir413/mvp

Masked Visual Pre-training for Motor Control

https://github.com/kornia/kornia

Segment Anything

https://github.com/ksugar/samapi

Segment Anything

https://github.com/kyegomez/RT-2

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

https://github.com/lancasterli/refsam

Segment Anything

https://github.com/li-qingyun/sam-mmrotate

Segment Anything

https://github.com/lifelong-robot-learning/libero

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

https://github.com/liyi14/mx-DeepIM

DeepIM: Deep Iterative Matching for 6D Pose Estimation

https://github.com/louisfinner/him2sam

SAM 2: Segment Anything in Images and Videos

https://github.com/lukashermann/hulc

What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data

https://github.com/martinsbruveris/tensorflow-image-models

Segment Anything

https://github.com/nickgkan/3d_diffuser_actor

Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation

https://github.com/nv-nguyen/pizza

DeepIM: Deep Iterative Matching for 6D Pose Estimation

https://github.com/openvla/openvla

OpenVLA: An Open-Source Vision-Language-Action Model

https://github.com/philippendres/CellPilot

Segment Anything

https://github.com/pie33000/OpenVLA

OpenVLA: An Open-Source Vision-Language-Action Model

https://github.com/pwc-1/Paper-10/tree/main/sam

Segment Anything

https://github.com/qizekun/SoFar

SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation

https://github.com/r-pad/taxpose

TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation

https://github.com/r-pad/zephyr

ZePHyR: Zero-shot Pose Hypothesis Rating

https://github.com/rll-research/rune

Reward Uncertainty for Exploration in Preference-based Reinforcement Learning

https://github.com/roboflow/rf100-vl

Magma: A Foundation Model for Multimodal AI Agents

https://github.com/roboterax/video-prediction-policy

Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations

https://github.com/sinsauzero/buildblock-env-of-pybullet

DAIR: Disentangled Attention Intrinsic Regularization for Safe and Efficient Bimanual Manipulation

https://github.com/skylark0924/rofunc

Robot Cooking with Stir-fry: Bimanual Non-prehensile Manipulation of Semi-fluid Objects

https://github.com/sparkmxy/my-offlinerl

PLAS: Latent Action Space for Offline Reinforcement Learning

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.