Papers with Code 아카이브
Robot Manipulation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/IRVLUTD/HO-Cap
공식 코드https://github.com/IRVLUTD/SceneReplica
공식 코드SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenes
https://github.com/JanMatas/Rainbow_ddpg
공식 코드Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
https://github.com/Kami-code/dexart-release
공식 코드DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects
https://github.com/KochPJ/AutoPoseEstimation
공식 코드https://github.com/MSiam/motion_adaptation
공식 코드https://github.com/MohitShridhar/genima
공식 코드https://github.com/NVlabs/RVT
공식 코드https://github.com/OpenHelix-robot/OpenHelix
공식 코드https://github.com/R-PMArt/rpmart
공식 코드RPMArt: Towards Robust Perception and Manipulation for Articulated Objects
https://github.com/RobustStabilityGuaranteeRL/RobustStabilityGuaranteeRL
공식 코드$H_\infty$ Model-free Reinforcement Learning with Robust Stability Guarantee
https://github.com/Stanford-ILIAD/droc
공식 코드Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections
https://github.com/Streaming-Diffusion-Policy/streaming_diffusion_policy
공식 코드Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models
https://github.com/TheCamusean/grasp_diffusion
공식 코드https://github.com/TongZhangTHU/sgr
공식 코드A Universal Semantic-Geometric Representation for Robotic Manipulation
https://github.com/ToyotaResearchInstitute/simnet
공식 코드SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo
https://github.com/WMGDataScience/gym_wmgds
공식 코드Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations
https://github.com/WMGDataScience/sldr
공식 코드Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations
https://github.com/WanquanF/RMA-Net
공식 코드Recurrent Multi-view Alignment Network for Unsupervised Surface Registration
https://github.com/Weixy21/ABNet
공식 코드ABNet: Attention BarrierNet for Safe and Scalable Robot Learning
https://github.com/Xingyu-Lin/VCD
공식 코드https://github.com/Xingyu-Lin/softgym
공식 코드SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
https://github.com/YanjieZe/3D-Diffusion-Policy
공식 코드3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
https://github.com/Zhangwenyao1/DreamVLA
공식 코드DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
https://github.com/abitha-thankaraj/audio-robot-learning
공식 코드That Sounds Right: Auditory Self-Supervision for Dynamic Robot Manipulation
https://github.com/ademiadeniji/irm
공식 코드Skill-Based Reinforcement Learning with Intrinsic Reward Matching
https://github.com/ademiadeniji/lamp
공식 코드Language Reward Modulation for Pretraining Reinforcement Learning
https://github.com/ai4ce/SNAC
공식 코드Simultaneous Navigation and Construction Benchmarking Environments
https://github.com/amy-tabb/RWHEC-Tabb-AhmadYousef
공식 코드Solving the Robot-World Hand-Eye(s) Calibration Problem with Iterative Methods
https://github.com/applied-ai-lab/object_matching
공식 코드Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement
https://github.com/aswahd/sam2radiology
공식 코드Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts
https://github.com/aswahd/samradiology
공식 코드Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts
https://github.com/baceituno/dlm
공식 코드A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation
https://github.com/bytedance/GR-MG
공식 코드GR-MG: Leveraging Partially Annotated Data via Multi-Modal Goal-Conditioned Policy
https://github.com/cambel/robot-learning-cl-dr
공식 코드Accelerating Robot Learning of Contact-Rich Manipulations: A Curriculum Learning Study
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.