Cover Image

Breaking Task Impasses Quickly: Adaptive Neuro-Symbolic Learning for Open-World Robotics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Lorang, Pierrick
Format:	Preprint
Published:	2026
Subjects:	Robotics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Build on Priors: Vision--Language--Guided Neuro-Symbolic Imitation Learning for Data-Efficient Real-World Robot Manipulation
by: Lorang, Pierrick, et al.
Published: (2026)

Curiosity-Driven Imagination: Discovering Plan Operators and Learning Associated Policies for Open-World Adaptation
by: Lorang, Pierrick, et al.
Published: (2025)

Novelty Adaptation Through Hybrid Large Language Model (LLM)-Symbolic Planning and LLM-guided Reinforcement Learning
by: Lu, Hong, et al.
Published: (2026)

The Price Is Not Right: Neuro-Symbolic Methods Outperform VLAs on Structured Long-Horizon Manipulation Tasks with Significantly Lower Energy Consumption
by: Duggan, Timothy, et al.
Published: (2026)

Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting
by: Lorang, Pierrick, et al.
Published: (2025)

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning
by: Arriaga, Octavio, et al.
Published: (2025)

Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation
by: Alcedo, Kevin, et al.
Published: (2025)

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

Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning
by: Ahn, Sanghyun, et al.
Published: (2025)

Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
by: Keller, Leon, et al.
Published: (2025)

VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning
by: Liang, Yichao, et al.
Published: (2024)

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment
by: Qian, Weixian, et al.
Published: (2025)

Probabilistic Mission Design for Neuro-Symbolic Unmanned Aircraft Systems
by: Kohaut, Simon, et al.
Published: (2024)

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

Embodied Intelligence in Disassembly: Multimodal Perception Cross-validation and Continual Learning in Neuro-Symbolic TAMP
by: He, Ziwen, et al.
Published: (2025)

QuickLAP: Quick Language-Action Preference Learning for Semi-Autonomous Agents
by: Nader, Jordan Abi, et al.
Published: (2025)

CRAFT-E: A Neuro-Symbolic Framework for Embodied Affordance Grounding
by: Chen, Zhou, et al.
Published: (2025)

Reinforcement Learning Enabled Adaptive Multi-Task Control for Bipedal Soccer Robots
by: Zhang, Yulai, et al.
Published: (2026)

Humanoid World Models: Open World Foundation Models for Humanoid Robotics
by: Ali, Muhammad Qasim, et al.
Published: (2025)

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

Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
by: Wang, Chen, et al.
Published: (2024)

A Real-Time Neuro-Symbolic Ethical Governor for Safe Decision Control in Autonomous Robotic Manipulation
by: Aueawatthanaphisut, Aueaphum, et al.
Published: (2026)

Contextual Safety Reasoning and Grounding for Open-World Robots
by: Ravichandran, Zachary, et al.
Published: (2026)

Creating and Repairing Robot Programs in Open-World Domains
by: Schlesinger, Claire, et al.
Published: (2024)

Task and Domain Adaptive Reinforcement Learning for Robot Control
by: Liu, Yu Tang, et al.
Published: (2024)

An LLM-Driven Closed-Loop Autonomous Learning Framework for Robots Facing Uncovered Tasks in Open Environments
by: Su, Hong
Published: (2026)

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

Neuro-Symbolic Skill Discovery for Conditional Multi-Level Planning
by: Aktas, Hakan, et al.
Published: (2024)

A Pragmatist Robot: Learning to Plan Tasks by Experiencing the Real World
by: Qu, Kaixian, et al.
Published: (2025)

Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied Agents
by: Habekost, Jan-Gerrit, et al.
Published: (2024)

PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving
by: Zhao, Zhipeng, et al.
Published: (2024)

Learning Neuro-symbolic Programs for Language Guided Robot Manipulation
by: Kalithasan, Namasivayam, et al.
Published: (2022)

Learning Bilevel Policies over Symbolic World Models for Long-Horizon Planning
by: Chen, Dillon Z., et al.
Published: (2026)

A Multi-Modal Neuro-Symbolic Approach for Spatial Reasoning-Based Visual Grounding in Robotics
by: Jahangard, Simindokht, et al.
Published: (2025)

MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting
by: Liu, Fangchen, et al.
Published: (2024)

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

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

Symmetry Considerations for Learning Task Symmetric Robot Policies
by: Mittal, Mayank, et al.
Published: (2024)

RobotFleet: An Open-Source Framework for Centralized Multi-Robot Task Planning
by: Gupta, Rohan, et al.
Published: (2025)

Efficient Sensorimotor Learning for Open-world Robot Manipulation
by: Zhu, Yifeng
Published: (2025)