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/robot-learning-freiburg/TAPAS

공식 코드

The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations

https://github.com/robot-learning-freiburg/bask

공식 코드

The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation

https://github.com/sail-sg/ild

공식 코드

Imitation Learning via Differentiable Physics

https://github.com/shamilmamedov/flexible_arm

공식 코드

Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots

https://github.com/simpler-env/SimplerEnv

공식 코드

Evaluating Real-World Robot Manipulation Policies in Simulation

https://github.com/sirabas369/diffclone

공식 코드

DiffClone: Enhanced Behaviour Cloning in Robotics with Diffusion-Driven Policy Learning

https://github.com/stanford-iprl-lab/multimodal_representation

공식 코드

Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks

https://github.com/stepjam/ARM

공식 코드

Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation

https://github.com/stepjam/BPP

공식 코드

Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning

https://github.com/tdavchev/structured-trajectory-prediction

공식 코드

Learning Structured Representations of Spatial and Interactive Dynamics for Trajectory Prediction in Crowded Scenes

https://github.com/tencentarc/moto

공식 코드

Moto: Latent Motion Token as the Bridging Language for Learning Robot Manipulation from Videos

https://github.com/thuml/RLVR-World

공식 코드

RLVR-World: Training World Models with Reinforcement Learning

https://github.com/tub-rip/event_slip

공식 코드

Combined Physics and Event Camera Simulator for Slip Detection

https://github.com/tutujingyugang1/ChatVLA_public

공식 코드

ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model

https://github.com/uscresl/dmfd

공식 코드

Learning Deformable Object Manipulation from Expert Demonstrations

https://github.com/uscresl/mail

공식 코드

Learning Robot Manipulation from Cross-Morphology Demonstration

https://github.com/utomm/mini-diffuse-actor

공식 코드

Mini Diffuser: Fast Multi-task Diffusion Policy Training Using Two-level Mini-batches

https://github.com/vimalabs/VIMABench

공식 코드

VIMA: General Robot Manipulation with Multimodal Prompts

https://github.com/vlc-robot/polarnet

공식 코드

Instruction-driven history-aware policies for robotic manipulations

https://github.com/vlc-robot/robot-3dlotus

공식 코드

Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy

https://github.com/wenbowen123/BundleTrack

공식 코드

BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models

https://github.com/wenbowen123/iros20-6d-pose-tracking

공식 코드

se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

https://github.com/wilson1yan/rlpyt

공식 코드

Learning to Manipulate Deformable Objects without Demonstrations

https://github.com/xiaoxiaoxh/DeformPAM

공식 코드

DeformPAM: Data-Efficient Learning for Long-horizon Deformable Object Manipulation via Preference-based Action Alignment

https://github.com/xiaoxiaoxh/reactive_diffusion_policy

공식 코드

Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation

https://github.com/xuanlinli17/corl_22_frame_mining

공식 코드

Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds

https://github.com/youngsean/unseenobjectswithmeanshift

공식 코드

Mean Shift Mask Transformer for Unseen Object Instance Segmentation

https://github.com/yueyang130/deer-vla

공식 코드

DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution

https://github.com/zhouxian/act3d-chained-diffuser

공식 코드

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

https://github.com/zhouzypaul/auto_eval

공식 코드

AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World

https://github.com/2023-MindSpore-4/Code12/tree/main/MindFormers/sam

Segment Anything

https://github.com/ARISE-Initiative/robomimic

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

https://github.com/DanielTakeshi/IL_ROS_HSR

Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making

https://github.com/DanielTakeshi/fast_grasp_detect

Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making

https://github.com/GR1-Manipulation/GR-1

Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation

https://github.com/HarryLui98/DMPEL

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

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