:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteur principal:	Su, Hong
Format:	Preprint
Publié:	2026
Sujets:	Robotics Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2604.22199
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

CLEA: Closed-Loop Embodied Agent for Enhancing Task Execution in Dynamic Environments
par: Lei, Mingcong, et autres
Publié: (2025)

An Open-Source Modular Benchmark for Diffusion-Based Motion Planning in Closed-Loop Autonomous Driving
par: Li, Yun, et autres
Publié: (2026)

RADAR: Closed-Loop Robotic Data Generation via Semantic Planning and Autonomous Causal Environment Reset
par: Wang, Yongzhong, et autres
Publié: (2026)

Closing the Loop: Motion Prediction Models beyond Open-Loop Benchmarks
par: Bouzidi, Mohamed-Khalil, et autres
Publié: (2025)

Model-Based Policy Adaptation for Closed-Loop End-to-End Autonomous Driving
par: Lin, Haohong, et autres
Publié: (2025)

A Framework for Closed-Loop Robotic Assembly, Alignment and Self-Recovery of Precision Optical Systems
par: Choi, Seou, et autres
Publié: (2026)

Hybrid LLM-based Intelligent Framework for Robot Task Scheduling
par: Saha, Swayamjit, et autres
Publié: (2026)

Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners
par: Zheng, Zhi, et autres
Publié: (2024)

RobotFleet: An Open-Source Framework for Centralized Multi-Robot Task Planning
par: Gupta, Rohan, et autres
Publié: (2025)

SingingBot: An Avatar-Driven System for Robotic Face Singing Performance
par: Xu, Zhuoxiong, et autres
Publié: (2026)

Experience-based Refinement of Task Planning Knowledge in Autonomous Robots
par: Jazzaa, Hadeel, et autres
Publié: (2025)

OminiAdapt: Learning Cross-Task Invariance for Robust and Environment-Aware Robotic Manipulation
par: Wang, Yongxu, et autres
Publié: (2025)

Robot Task Planning and Situation Handling in Open Worlds
par: Ding, Yan, et autres
Publié: (2022)

Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Decision-Making in Dynamic Environment
par: Chowdhury, Jayabrata, et autres
Publié: (2024)

Breaking Task Impasses Quickly: Adaptive Neuro-Symbolic Learning for Open-World Robotics
par: Lorang, Pierrick
Publié: (2026)

Generalized Robot Learning Framework
par: Yan, Jiahuan, et autres
Publié: (2024)

Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments
par: Mittal, Mayank, et autres
Publié: (2023)

SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
par: Stoler, Benjamin, et autres
Publié: (2024)

Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments
par: Castri, Luca, et autres
Publié: (2025)

nuPlan-R: A Closed-Loop Planning Benchmark for Autonomous Driving via Reactive Multi-Agent Simulation
par: Peng, Mingxing, et autres
Publié: (2025)

Using Language Models as Closed-Loop High-Level Planners for Robotics Applications: A Brief Overview and Benchmarks
par: Wang, Hao, et autres
Publié: (2025)

Real-Time Imitation of Human Head Motions, Blinks and Emotions by Nao Robot: A Closed-Loop Approach
par: Rayati, Keyhan, et autres
Publié: (2025)

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving
par: Sun, Zhengqi, et autres
Publié: (2026)

RoboRAN: A Unified Robotics Framework for Reinforcement Learning-Based Autonomous Navigation
par: El-Hariry, Matteo, et autres
Publié: (2025)

RoboClaw: An Agentic Framework for Scalable Long-Horizon Robotic Tasks
par: Li, Ruiying, et autres
Publié: (2026)

Pedestrian-Aware LLM-Driven Behavioral Planning for Autonomous Vehicles
par: Baimbetova, Aidana, et autres
Publié: (2026)

VerifyLLM: LLM-Based Pre-Execution Task Plan Verification for Robots
par: Grigorev, Danil S., et autres
Publié: (2025)

An Ontology for Unified Modeling of Tasks, Actions, Environments, and Capabilities in Personal Service Robotics
par: Martorana, Margherita, et autres
Publié: (2025)

Curiosity-Driven Imagination: Discovering Plan Operators and Learning Associated Policies for Open-World Adaptation
par: Lorang, Pierrick, et autres
Publié: (2025)

LLM-Driven Self-Refinement for Embodied Drone Task Planning
par: Zhang, Deyu, et autres
Publié: (2025)

Ruka-v2: Tendon Driven Open-Source Dexterous Hand with Wrist and Abduction for Robot Learning
par: Liu, Xinqi Lucas, et autres
Publié: (2026)

GSWorld: Closed-Loop Photo-Realistic Simulation Suite for Robotic Manipulation
par: Jiang, Guangqi, et autres
Publié: (2025)

A Scalable Multi-Robot Framework for Decentralized and Asynchronous Perception-Action-Communication Loops
par: Agarwal, Saurav, et autres
Publié: (2023)

Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning
par: Luo, Jianlan, et autres
Publié: (2024)

Task2Morph: Differentiable Task-inspired Framework for Contact-Aware Robot Design
par: Cai, Yishuai, et autres
Publié: (2024)

Ark: An Open-source Python-based Framework for Robot Learning
par: Dierking, Magnus, et autres
Publié: (2025)

A Quantitative Autonomy Quantification Framework for Fully Autonomous Robotic Systems
par: Gyagenda, Nasser, et autres
Publié: (2023)

An LLM-enabled Multi-Agent Autonomous Mechatronics Design Framework
par: Wang, Zeyu, et autres
Publié: (2025)

Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for Autonomous Driving
par: Wu, Sihao, et autres
Publié: (2024)

Deep Reinforcement Learning-based Obstacle Avoidance for Robot Movement in Warehouse Environments
par: Li, Keqin, et autres
Publié: (2024)