Copertina

RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Jingyao, Chen, Pengguang, Wu, Sitong, Zheng, Chuanyang, Xu, Hong, Jia, Jiaya
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks
di: Li, Jingyao, et al.
Pubblicazione: (2023)

Logits-Based Finetuning
di: Li, Jingyao, et al.
Pubblicazione: (2025)

RoboMorph: Evolving Robot Morphology using Large Language Models
di: Qiu, Kevin, et al.
Pubblicazione: (2024)

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
di: Nasiriany, Soroush, et al.
Pubblicazione: (2024)

VLPose: Bridging the Domain Gap in Pose Estimation with Language-Vision Tuning
di: Li, Jingyao, et al.
Pubblicazione: (2024)

CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
di: Ryu, Kanghyun, et al.
Pubblicazione: (2024)

VP-VLA: Visual Prompting as an Interface for Vision-Language-Action Models
di: Wang, Zixuan, et al.
Pubblicazione: (2026)

Robo-DM: Data Management For Large Robot Datasets
di: Chen, Kaiyuan, et al.
Pubblicazione: (2025)

Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation
di: Jansonnie, Paul, et al.
Pubblicazione: (2024)

RoboBERT: An End-to-end Multimodal Robotic Manipulation Model
di: Wang, Sicheng, et al.
Pubblicazione: (2025)

RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models
di: Long, Zijun, et al.
Pubblicazione: (2023)

RoboCAS: A Benchmark for Robotic Manipulation in Complex Object Arrangement Scenarios
di: Zheng, Liming, et al.
Pubblicazione: (2024)

GenSim: Generating Robotic Simulation Tasks via Large Language Models
di: Wang, Lirui, et al.
Pubblicazione: (2023)

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning
di: Lai, Matthew, et al.
Pubblicazione: (2025)

QuickLLaMA: Query-aware Inference Acceleration for Large Language Models
di: Li, Jingyao, et al.
Pubblicazione: (2024)

RoboAgent: Chaining Basic Capabilities for Embodied Task Planning
di: Xu, Peiran, et al.
Pubblicazione: (2026)

Being-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills
di: Yuan, Haoqi, et al.
Pubblicazione: (2025)

RoboGene: Boosting VLA Pre-training via Diversity-Driven Agentic Framework for Real-World Task Generation
di: Zhang, Yixue, et al.
Pubblicazione: (2026)

RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies
di: Atreya, Pranav, et al.
Pubblicazione: (2025)

RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields
di: Sagar, Som, et al.
Pubblicazione: (2024)

RoboReward: General-Purpose Vision-Language Reward Models for Robotics
di: Lee, Tony, et al.
Pubblicazione: (2026)

RoboPocket: Improve Robot Policies Instantly with Your Phone
di: Fang, Junjie, et al.
Pubblicazione: (2026)

SPECI: Skill Prompts based Hierarchical Continual Imitation Learning for Robot Manipulation
di: Xu, Jingkai, et al.
Pubblicazione: (2025)

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models
di: Li, Jingyao, et al.
Pubblicazione: (2025)

RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots
di: Nasiriany, Soroush, et al.
Pubblicazione: (2026)

ClevrSkills: Compositional Language and Visual Reasoning in Robotics
di: Haresh, Sanjay, et al.
Pubblicazione: (2024)

MOODv2: Masked Image Modeling for Out-of-Distribution Detection
di: Li, Jingyao, et al.
Pubblicazione: (2024)

Robotic Skill Diversification via Active Mutation of Reward Functions in Reinforcement Learning During a Liquid Pouring Task
di: van Buuren, Jannick, et al.
Pubblicazione: (2025)

StarVLA-$α$: Reducing Complexity in Vision-Language-Action Systems
di: Ye, Jinhui, et al.
Pubblicazione: (2026)

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
di: Wang, Yufei, et al.
Pubblicazione: (2023)

RoboDreamer: Learning Compositional World Models for Robot Imagination
di: Zhou, Siyuan, et al.
Pubblicazione: (2024)

RoboMatrix: A Skill-centric Hierarchical Framework for Scalable Robot Task Planning and Execution in Open-World
di: Mao, Weixin, et al.
Pubblicazione: (2024)

Learning Human-Like Badminton Skills for Humanoid Robots
di: Chen, Yeke, et al.
Pubblicazione: (2026)

Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning
di: Li, Jianxiong, et al.
Pubblicazione: (2024)

Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets
di: Chen, Kaiyuan, et al.
Pubblicazione: (2025)

Uni-Skill: Building Self-Evolving Skill Repository for Generalizable Robotic Manipulation
di: Xie, Senwei, et al.
Pubblicazione: (2026)

Robo-Dopamine: General Process Reward Modeling for High-Precision Robotic Manipulation
di: Tan, Huajie, et al.
Pubblicazione: (2025)

RoboTron-Mani: All-in-One Multimodal Large Model for Robotic Manipulation
di: Yan, Feng, et al.
Pubblicazione: (2024)

RoboDexVLM: Visual Language Model-Enabled Task Planning and Motion Control for Dexterous Robot Manipulation
di: Liu, Haichao, et al.
Pubblicazione: (2025)

Benchmarking Vision, Language, & Action Models on Robotic Learning Tasks
di: Guruprasad, Pranav, et al.
Pubblicazione: (2024)