https://github.com/clear-nus/ltldog
공식 코드LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning
Papers with Code 아카이브
Robot Manipulation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/clvrai/furniture-bench
공식 코드FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation
https://github.com/clvrai/mopa-pd
공식 코드Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation
https://github.com/columbia-ai-robotics/BusyBot
공식 코드BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment
https://github.com/columbia-robovision/dsr
공식 코드Learning 3D Dynamic Scene Representations for Robot Manipulation
https://github.com/core-robotics-lab/opponent-modeling
공식 코드Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games
https://github.com/ctu-vras/actsel
공식 코드https://github.com/cxt98/ACF_perception
공식 코드Manipulation-Oriented Object Perception in Clutter through Affordance Coordinate Frames
https://github.com/danischober/labliquidvision
공식 코드Vision-based robot manipulation of transparent liquid containers in a laboratory setting
https://github.com/declare-lab/emma-x
공식 코드https://github.com/dikay1/os-agdo
공식 코드One-Shot Affordance Grounding of Deformable Objects in Egocentric Organizing Scenes
https://github.com/dlr-rm/interactive-incremental-learning
공식 코드Interactive incremental learning of generalizable skills with local trajectory modulation
https://github.com/embodied-generalist/embodied-generalist
공식 코드https://github.com/ericcsr/diffsrl
공식 코드https://github.com/existentialrobotics/cross_embodiment_transfer
공식 코드Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment
https://github.com/facebookresearch/r3m
공식 코드R3M: A Universal Visual Representation for Robot Manipulation
https://github.com/facebookresearch/sam2
공식 코드https://github.com/facebookresearch/segment-anything
공식 코드https://github.com/facebookresearch/vip
공식 코드VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
https://github.com/gmparg/ICLP2020
공식 코드https://github.com/google-research/google-research
공식 코드https://github.com/google-research/robotics_transformer
공식 코드https://github.com/griffbr/tfod
공식 코드https://github.com/gt-ripl/awesome-llm-robotics
공식 코드https://github.com/gtziafas/hots
공식 코드Enhancing Interpretability and Interactivity in Robot Manipulation: A Neurosymbolic Approach
https://github.com/haosulab/maniskill2
공식 코드ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
https://github.com/haoyizhu/pointcloudmatters
공식 코드Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning
https://github.com/haoyizhu/realrobot
공식 코드Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning
https://github.com/hehongc/DCMRL
공식 코드Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills
https://github.com/hoyyyaard/3dflowaction
공식 코드3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model
https://github.com/hri-eu/flow_matching
공식 코드https://github.com/huangwl18/voxposer
공식 코드VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
https://github.com/intelligent-control-lab/guard
공식 코드https://github.com/intelligent-control-lab/statewise_constrained_policy_optimization
공식 코드https://github.com/ir-lab/LanguagePolicies
공식 코드Language-Conditioned Imitation Learning for Robot Manipulation Tasks
https://github.com/irmvlab/diff-ip2d
공식 코드Diff-IP2D: Diffusion-Based Hand-Object Interaction Prediction on Egocentric Videos
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.