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/jhejna/remix

공식 코드

Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

https://github.com/jxbi1010/koap

공식 코드

Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers

https://github.com/kaixindelele/RHER

공식 코드

Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards

https://github.com/kuroki1931/ciom

공식 코드

Collective Intelligence for 2D Push Manipulations with Mobile Robots

https://github.com/lhc1224/OSAD_Net

공식 코드

One-Shot Object Affordance Detection in the Wild

https://github.com/liliu-avril/Awesome-Segment-Anything

공식 코드

Segment Anything for Videos: A Systematic Survey

https://github.com/liruiw/fleet-tools

공식 코드

Robot Fleet Learning via Policy Merging

https://github.com/liufanfanlff/robouniview

공식 코드

RoboUniView: Visual-Language Model with Unified View Representation for Robotic Manipulation

https://github.com/lorenmt/auto-lambda

공식 코드

Auto-Lambda: Disentangling Dynamic Task Relationships

https://github.com/lt-asset/selp

공식 코드

SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models

https://github.com/lz1oceani/pointcloud_rl

공식 코드

On the Efficacy of 3D Point Cloud Reinforcement Learning

https://github.com/mazpie/redundancy-action-spaces

공식 코드

Redundancy-aware Action Spaces for Robot Learning

https://github.com/mees/calvin

공식 코드

CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

https://github.com/mees/hulc

공식 코드

What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data

https://github.com/microsoft/Magma

공식 코드

Magma: A Foundation Model for Multimodal AI Agents

https://github.com/mingchaoqi/skill_transfer

공식 코드

Semantic-Geometric-Physical-Driven Robot Manipulation Skill Transfer via Skill Library and Tactile Representation

https://github.com/minusadd/meta-learning-parameterized-skills

공식 코드

Meta-Learning Parameterized Skills

https://github.com/mlzxy/arp

공식 코드

Autoregressive Action Sequence Learning for Robotic Manipulation

https://github.com/mlzxy/visual-kinetic-chain

공식 코드

Scaling Manipulation Learning with Visual Kinematic Chain Prediction

https://github.com/mousecpn/robot-trajectron

공식 코드

Robot Trajectron: Trajectory Prediction-based Shared Control for Robot Manipulation

https://github.com/nvlabs/motion-policy-networks

공식 코드

Motion Policy Networks

https://github.com/omron-sinicx/compact

공식 코드

Learning Variable Compliance Control From a Few Demonstrations for Bimanual Robot with Haptic Feedback Teleoperation System

https://github.com/opendrivelab/univla

공식 코드

UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

https://github.com/openrobotlab/egohod

공식 코드

Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning

https://github.com/pauamargant/hsr-graspsynth

공식 코드

Sim2Real Transfer for Vision-Based Grasp Verification

https://github.com/peract/peract

공식 코드

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

https://github.com/pickxiguapi/embodied-fsd

공식 코드

From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation

https://github.com/pointW/equidiff

공식 코드

Equivariant Diffusion Policy

https://github.com/prasoongoyal/PixL2R

공식 코드

PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards

https://github.com/prishita123/curriculum_rl_for_driving

공식 코드

Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning

https://github.com/qiaojunyu/GAMMA-ICRA2024

공식 코드

GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated Objects

https://github.com/ravikt/gril

공식 코드

Imitation Learning with Human Eye Gaze via Multi-Objective Prediction

https://github.com/real-stanford/xskill

공식 코드

XSkill: Cross Embodiment Skill Discovery

https://github.com/resuldagdanov/robot-learning-human-trust

공식 코드

Improving Trust Estimation in Human-Robot Collaboration Using Beta Reputation at Fine-grained Timescales

https://github.com/rll-research/sim2seg

공식 코드

Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data

https://github.com/robot-colosseum/robot-colosseum

공식 코드

THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation

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