Copertina

Cooperative-Competitive Team Play of Real-World Craft Robots

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhao, Rui, Li, Xihui, Zhang, Yizheng, Liu, Yuzhen, Zhang, Zhong, Zhang, Yufeng, Zhou, Cheng, Zhang, Zhengyou, Han, Lei
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Robotics Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Lifelike Agility and Play in Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models
di: Han, Lei, et al.
Pubblicazione: (2023)

Toward Real-World Cooperative and Competitive Soccer with Quadrupedal Robot Teams
di: Su, Zhi, et al.
Pubblicazione: (2025)

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis
di: Chi, Xiaowei, et al.
Pubblicazione: (2025)

A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning
di: Zhai, Shaopeng, et al.
Pubblicazione: (2025)

PlayWorld: Learning Robot World Models from Autonomous Play
di: Yin, Tenny, et al.
Pubblicazione: (2026)

Stimulate the Potential of Robots via Competition
di: Huang, Kangyao, et al.
Pubblicazione: (2024)

Multi-Task Interactive Robot Fleet Learning with Visual World Models
di: Liu, Huihan, et al.
Pubblicazione: (2024)

Learning to Play Piano in the Real World
di: Zeulner, Yves-Simon, et al.
Pubblicazione: (2025)

World-Gymnast: Training Robots with Reinforcement Learning in a World Model
di: Sharma, Ansh Kumar, et al.
Pubblicazione: (2026)

Robot Task Planning and Situation Handling in Open Worlds
di: Ding, Yan, et al.
Pubblicazione: (2022)

MetaWorld-X: Hierarchical World Modeling via VLM-Orchestrated Experts for Humanoid Loco-Manipulation
di: Shen, Yutong, et al.
Pubblicazione: (2026)

VLA-RAIL: A Real-Time Asynchronous Inference Linker for VLA Models and Robots
di: Zhao, Yongsheng, et al.
Pubblicazione: (2025)

Human-in-the-loop Online Rejection Sampling for Robotic Manipulation
di: Lu, Guanxing, et al.
Pubblicazione: (2025)

AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World
di: Zhou, Zhiyuan, et al.
Pubblicazione: (2025)

AdaWorldPolicy: World-Model-Driven Diffusion Policy with Online Adaptive Learning for Robotic Manipulation
di: Yuan, Ge, et al.
Pubblicazione: (2026)

An Integrated Framework for Team Formation and Winner Prediction in the FIRST Robotics Competition: Model, Algorithm, and Analysis
di: Galbiati, Federico, et al.
Pubblicazione: (2024)

EmboCoach-Bench: Benchmarking AI Agents on Developing Embodied Robots
di: Lei, Zixing, et al.
Pubblicazione: (2026)

TextOp: Real-time Interactive Text-Driven Humanoid Robot Motion Generation and Control
di: Xie, Weiji, et al.
Pubblicazione: (2026)

DEFT: Differentiable Branched Discrete Elastic Rods for Modeling Furcated DLOs in Real-Time
di: Chen, Yizhou, et al.
Pubblicazione: (2025)

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World
di: Fu, Yankai, et al.
Pubblicazione: (2025)

LAMARL: LLM-Aided Multi-Agent Reinforcement Learning for Cooperative Policy Generation
di: Zhu, Guobin, et al.
Pubblicazione: (2025)

Embodied Red Teaming for Auditing Robotic Foundation Models
di: Karnik, Sathwik, et al.
Pubblicazione: (2024)

Cooperative Reward Shaping for Multi-Agent Pathfinding
di: Song, Zhenyu, et al.
Pubblicazione: (2024)

BadRobot: Jailbreaking Embodied LLMs in the Physical World
di: Zhang, Hangtao, et al.
Pubblicazione: (2024)

EMMA: Generalizing Real-World Robot Manipulation via Generative Visual Transfer
di: Dong, Zhehao, et al.
Pubblicazione: (2025)

Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots
di: Hu, Haimin, et al.
Pubblicazione: (2024)

World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation
di: Jiang, Zhennan, et al.
Pubblicazione: (2025)

Co-jump: Cooperative Jumping with Quadrupedal Robots via Multi-Agent Reinforcement Learning
di: Dong, Shihao, et al.
Pubblicazione: (2026)

GRS: Generating Robotic Simulation Tasks from Real-World Images
di: Zook, Alex, et al.
Pubblicazione: (2024)

ManipDreamer: Boosting Robotic Manipulation World Model with Action Tree and Visual Guidance
di: Li, Ying, et al.
Pubblicazione: (2025)

Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications
di: Zhang, Xilun, et al.
Pubblicazione: (2024)

EndoSERV: A Vision-based Endoluminal Robot Navigation System
di: Wu, Junyang, et al.
Pubblicazione: (2026)

Vehicle Dynamics Embedded World Models for Autonomous Driving
di: Li, Huiqian, et al.
Pubblicazione: (2025)

A Differentiated Reward Method for Reinforcement Learning based Multi-Vehicle Cooperative Decision-Making Algorithms
di: Han, Ye, et al.
Pubblicazione: (2025)

Beyond Self-Play: Hierarchical Reasoning for Continuous Motion in Closed-Loop Traffic Simulation
di: Zhang, Weifan, et al.
Pubblicazione: (2026)

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion
di: Liu, Qi, et al.
Pubblicazione: (2025)

Long-Short Term Agents for Pure-Vision Bronchoscopy Robotic Autonomy
di: Wu, Junyang, et al.
Pubblicazione: (2026)

RoboGolf: Mastering Real-World Minigolf with a Reflective Multi-Modality Vision-Language Model
di: Zhou, Hantao, et al.
Pubblicazione: (2024)

Advancing MAPF Toward the Real World: A Scalable Multi-Agent Realistic Testbed (SMART)
di: Yan, Jingtian, et al.
Pubblicazione: (2025)

Human-Robot Red Teaming for Safety-Aware Reasoning
di: Sheetz, Emily, et al.
Pubblicazione: (2025)