Saved in:
| Main Authors: | Arii, Kazuma, Kurihara, Satoshi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.01644 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CRAFT-E: A Neuro-Symbolic Framework for Embodied Affordance Grounding
by: Chen, Zhou, et al.
Published: (2025)
by: Chen, Zhou, et al.
Published: (2025)
LLM-mediated Dynamic Plan Generation with a Multi-Agent Approach
by: Abe, Reo, et al.
Published: (2025)
by: Abe, Reo, et al.
Published: (2025)
GarmentPile++: Affordance-Driven Cluttered Garments Retrieval with Vision-Language Reasoning
by: Li, Mingleyang, et al.
Published: (2026)
by: Li, Mingleyang, et al.
Published: (2026)
Sensorimotor Self-Recognition in Multimodal Large Language Model-Driven Robots
by: Varela, Iñaki Dellibarda, et al.
Published: (2025)
by: Varela, Iñaki Dellibarda, et al.
Published: (2025)
Gaussian Mixture Models for Affordance Learning using Bayesian Networks
by: Osório, Pedro, et al.
Published: (2024)
by: Osório, Pedro, et al.
Published: (2024)
AutoGPT+P: Affordance-based Task Planning with Large Language Models
by: Birr, Timo, et al.
Published: (2024)
by: Birr, Timo, et al.
Published: (2024)
Multi-Object Graph Affordance Network: Goal-Oriented Planning through Learned Compound Object Affordances
by: Girgin, Tuba, et al.
Published: (2023)
by: Girgin, Tuba, et al.
Published: (2023)
Interactive Navigation in Environments with Traversable Obstacles Using Large Language and Vision-Language Models
by: Zhang, Zhen, et al.
Published: (2023)
by: Zhang, Zhen, et al.
Published: (2023)
MLLM-Fabric: Multimodal Large Language Model-Driven Robotic Framework for Fabric Sorting and Selection
by: Wang, Liman, et al.
Published: (2025)
by: Wang, Liman, et al.
Published: (2025)
Language Models can Infer Action Semantics for Symbolic Planners from Environment Feedback
by: Zhu, Wang, et al.
Published: (2024)
by: Zhu, Wang, et al.
Published: (2024)
Cross-Embodied Affordance Transfer through Learning Affordance Equivalences
by: Aktas, Hakan, et al.
Published: (2024)
by: Aktas, Hakan, et al.
Published: (2024)
Benchmarking Affordance Generalization with BusyBox
by: Fortier, Dean, et al.
Published: (2026)
by: Fortier, Dean, et al.
Published: (2026)
How Secure Are Large Language Models (LLMs) for Navigation in Urban Environments?
by: Wen, Congcong, et al.
Published: (2024)
by: Wen, Congcong, et al.
Published: (2024)
Towards Interactive and Learnable Cooperative Driving Automation: a Large Language Model-Driven Decision-Making Framework
by: Fang, Shiyu, et al.
Published: (2024)
by: Fang, Shiyu, et al.
Published: (2024)
TRACE: Textual Reasoning for Affordance Coordinate Extraction
by: Park, Sangyun, et al.
Published: (2025)
by: Park, Sangyun, et al.
Published: (2025)
Contextual Affordances for Safe Exploration in Robotic Scenarios
by: Ye, William Z., et al.
Published: (2024)
by: Ye, William Z., et al.
Published: (2024)
Affordance-based Robot Manipulation with Flow Matching
by: Zhang, Fan, et al.
Published: (2024)
by: Zhang, Fan, et al.
Published: (2024)
Novelty Adaptation Through Hybrid Large Language Model (LLM)-Symbolic Planning and LLM-guided Reinforcement Learning
by: Lu, Hong, et al.
Published: (2026)
by: Lu, Hong, et al.
Published: (2026)
SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments
by: Rajvanshi, Abhinav, et al.
Published: (2023)
by: Rajvanshi, Abhinav, et al.
Published: (2023)
Cog-GA: A Large Language Models-based Generative Agent for Vision-Language Navigation in Continuous Environments
by: Li, Zhiyuan, et al.
Published: (2024)
by: Li, Zhiyuan, et al.
Published: (2024)
Online Dynamic Goal Recognition in Gym Environments
by: Matan, Shamir, et al.
Published: (2025)
by: Matan, Shamir, et al.
Published: (2025)
Integrating Large Language Models for UAV Control in Simulated Environments: A Modular Interaction Approach
by: Phadke, Abhishek, et al.
Published: (2024)
by: Phadke, Abhishek, et al.
Published: (2024)
Eurekaverse: Environment Curriculum Generation via Large Language Models
by: Liang, William, et al.
Published: (2024)
by: Liang, William, et al.
Published: (2024)
RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics
by: Yuan, Wentao, et al.
Published: (2024)
by: Yuan, Wentao, et al.
Published: (2024)
Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions
by: Wu, Ruihai, et al.
Published: (2023)
by: Wu, Ruihai, et al.
Published: (2023)
Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation
by: Alcedo, Kevin, et al.
Published: (2025)
by: Alcedo, Kevin, et al.
Published: (2025)
A3D: Adaptive Affordance Assembly with Dual-Arm Manipulation
by: Liang, Jiaqi, et al.
Published: (2026)
by: Liang, Jiaqi, et al.
Published: (2026)
An LLM-Driven Closed-Loop Autonomous Learning Framework for Robots Facing Uncovered Tasks in Open Environments
by: Su, Hong
Published: (2026)
by: Su, Hong
Published: (2026)
INGRID: Intelligent Generative Robotic Design Using Large Language Models
by: Jia, Guanglu, et al.
Published: (2025)
by: Jia, Guanglu, et al.
Published: (2025)
Hybrid Framework for Robotic Manipulation: Integrating Reinforcement Learning and Large Language Models
by: Saad, Md, et al.
Published: (2026)
by: Saad, Md, et al.
Published: (2026)
BEACON: Language-Conditioned Navigation Affordance Prediction under Occlusion
by: Gao, Xinyu, et al.
Published: (2026)
by: Gao, Xinyu, et al.
Published: (2026)
Probing a Vision-Language-Action Model for Symbolic States and Integration into a Cognitive Architecture
by: Lu, Hong, et al.
Published: (2025)
by: Lu, Hong, et al.
Published: (2025)
Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language Models
by: Gan, Rui, et al.
Published: (2025)
by: Gan, Rui, et al.
Published: (2025)
Scaling 3D Reasoning with LMMs to Large Robot Mission Environments Using Datagraphs
by: Meijer, W. J., et al.
Published: (2024)
by: Meijer, W. J., et al.
Published: (2024)
VLA-AN: An Efficient and Onboard Vision-Language-Action Framework for Aerial Navigation in Complex Environments
by: Wu, Yuze, et al.
Published: (2025)
by: Wu, Yuze, et al.
Published: (2025)
Affordance-Guided Coarse-to-Fine Exploration for Base Placement in Open-Vocabulary Mobile Manipulation
by: Lin, Tzu-Jung, et al.
Published: (2025)
by: Lin, Tzu-Jung, et al.
Published: (2025)
AffordSim: A Scalable Data Generator and Benchmark for Affordance-Aware Robotic Manipulation
by: Li, Mingyang, et al.
Published: (2026)
by: Li, Mingyang, et al.
Published: (2026)
Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles
by: Lu, Qiujing, et al.
Published: (2024)
by: Lu, Qiujing, et al.
Published: (2024)
Learning Reward for Robot Skills Using Large Language Models via Self-Alignment
by: Zeng, Yuwei, et al.
Published: (2024)
by: Zeng, Yuwei, et al.
Published: (2024)
Affordance-Guided Reinforcement Learning via Visual Prompting
by: Lee, Olivia Y., et al.
Published: (2024)
by: Lee, Olivia Y., et al.
Published: (2024)
Similar Items
-
CRAFT-E: A Neuro-Symbolic Framework for Embodied Affordance Grounding
by: Chen, Zhou, et al.
Published: (2025) -
LLM-mediated Dynamic Plan Generation with a Multi-Agent Approach
by: Abe, Reo, et al.
Published: (2025) -
GarmentPile++: Affordance-Driven Cluttered Garments Retrieval with Vision-Language Reasoning
by: Li, Mingleyang, et al.
Published: (2026) -
Sensorimotor Self-Recognition in Multimodal Large Language Model-Driven Robots
by: Varela, Iñaki Dellibarda, et al.
Published: (2025) -
Gaussian Mixture Models for Affordance Learning using Bayesian Networks
by: Osório, Pedro, et al.
Published: (2024)