Papers with Code 아카이브
Robot Manipulation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 5
- 보존된 평가 기록
- 60
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/stanford-iliad/openvla-mini
https://github.com/stanford-iprl-lab/sceneflownet
Motion-based Object Segmentation based on Dense RGB-D Scene Flow
https://github.com/stepjam/PyRep
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
https://github.com/sumedh7/RoboCLIP
RoboCLIP: One Demonstration is Enough to Learn Robot Policies
https://github.com/syscv/sam-hq
https://github.com/takuseno/d3rlpy
PLAS: Latent Action Space for Offline Reinforcement Learning
https://github.com/tianrun-chen/sam-adapter-pytorch
https://github.com/tongzhoumu/DrS
https://github.com/umass-foundation-model/3d-llm
https://github.com/ux-decoder/segment-everything-everywhere-all-at-once
https://github.com/vimalabs/VIMA
https://github.com/vineet2104/hifics
https://github.com/vitae-transformer/samrs
https://github.com/wilson1yan/contrastive-forward-model
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
https://github.com/xiaofeng-han-res/mf-rv
Multimodal Fusion and Vision-Language Models: A Survey for Robot Vision
https://github.com/xinghaochen/tinysam
https://github.com/xingyu-lin/softagent
Learning to Manipulate Deformable Objects without Demonstrations
https://github.com/yangchris11/samurai
https://github.com/zhangwenyao1/open6dor_v2_execution
SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation
https://github.com/zlr20/saferl_kit
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones
https://github.com/zuoxingdong/VIN_PyTorch_Visdom
Learning from the Hindsight Plan -- Episodic MPC Improvement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.