Image de couverture de livre

Towards Natural Language-Driven Assembly Using Foundation Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Joglekar, Omkar, Lancewicki, Tal, Kozlovsky, Shir, Tchuiev, Vladimir, Feldman, Zohar, Di Castro, Dotan
Format:	Preprint
Publié:	2024
Sujets:	Robotics Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ISCUTE: Instance Segmentation of Cables Using Text Embedding
par: Kozlovsky, Shir, et autres
Publié: (2024)

Gradient-Free Training of Quantized Neural Networks
par: Cohen, Noa, et autres
Publié: (2024)

Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge
par: Berman, Nimrod, et autres
Publié: (2025)

Robot Instance Segmentation with Few Annotations for Grasping
par: Kimhi, Moshe, et autres
Publié: (2024)

How Good are Foundation Models in Step-by-Step Embodied Reasoning?
par: Dissanayake, Dinura, et autres
Publié: (2025)

Radar Spectra-Language Model for Automotive Scene Parsing
par: Pushkareva, Mariia, et autres
Publié: (2024)

Understanding the Impact of Geometric Foundation Models on Vision-Language-Action Models
par: Yang, Yurou, et autres
Publié: (2026)

Overview of Computer Vision Techniques in Robotized Wire Harness Assembly: Current State and Future Opportunities
par: Wang, Hao, et autres
Publié: (2023)

QueryAdapter: Rapid Adaptation of Vision-Language Models in Response to Natural Language Queries
par: Chapman, Nicolas Harvey, et autres
Publié: (2025)

Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance
par: Nguyen, Toan, et autres
Publié: (2024)

FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models
par: Liu, Chuhao, et autres
Publié: (2024)

A Systematic Literature Review of Computer Vision Applications in Robotized Wire Harness Assembly
par: Wang, Hao, et autres
Publié: (2023)

FOMO-3D: Using Vision Foundation Models for Long-Tailed 3D Object Detection
par: Yang, Anqi Joyce, et autres
Publié: (2026)

Towards Open-World Grasping with Large Vision-Language Models
par: Tziafas, Georgios, et autres
Publié: (2024)

NaturalVLM: Leveraging Fine-grained Natural Language for Affordance-Guided Visual Manipulation
par: Xu, Ran, et autres
Publié: (2024)

A Pragmatic VLA Foundation Model
par: Wu, Wei, et autres
Publié: (2026)

SketchPlan: Diffusion Based Drone Planning From Human Sketches
par: Norelius, Sixten, et autres
Publié: (2025)

Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction
par: Fan, Chenyou, et autres
Publié: (2025)

Generative Event Pretraining with Foundation Model Alignment
par: Cao, Jianwen, et autres
Publié: (2026)

Few-Shot Panoptic Segmentation With Foundation Models
par: Käppeler, Markus, et autres
Publié: (2023)

Foundation Feature-Driven Online End-Effector Pose Estimation: A Marker-Free and Learning-Free Approach
par: Wu, Tianshu, et autres
Publié: (2025)

StableVLA: Towards Robust Vision-Language-Action Models without Extra Data
par: Fu, Yiyang, et autres
Publié: (2026)

CogVLA: Cognition-Aligned Vision-Language-Action Model via Instruction-Driven Routing & Sparsification
par: Li, Wei, et autres
Publié: (2025)

Automating Deformable Gasket Assembly
par: Adebola, Simeon, et autres
Publié: (2024)

LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization
par: Zhou, Xueyang, et autres
Publié: (2025)

FASTer: Toward Efficient Autoregressive Vision Language Action Modeling via Neural Action Tokenization
par: Liu, Yicheng, et autres
Publié: (2025)

SaPaVe: Towards Active Perception and Manipulation in Vision-Language-Action Models for Robotics
par: Liu, Mengzhen, et autres
Publié: (2026)

TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation
par: Wen, Junjie, et autres
Publié: (2024)

Component Selection for Craft Assembly Tasks
par: Isume, Vitor Hideyo, et autres
Publié: (2024)

CronusVLA: Towards Efficient and Robust Manipulation via Multi-Frame Vision-Language-Action Modeling
par: Li, Hao, et autres
Publié: (2025)

Experimental Study on Automatically Assembling Custom Catering Packages With a 3-DOF Delta Robot Using Deep Learning Methods
par: Yourdkhani, Reihaneh, et autres
Publié: (2025)

4D Radar Semantic Segmentation of People in Field Conditions Using Temporal Multi-View Networks
par: Skog, Mikael, et autres
Publié: (2024)

CapNav: Benchmarking Vision Language Models on Capability-conditioned Indoor Navigation
par: Su, Xia, et autres
Publié: (2026)

ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models
par: Dey, Sombit, et autres
Publié: (2024)

From Seeing to Experiencing: Scaling Navigation Foundation Models with Reinforcement Learning
par: He, Honglin, et autres
Publié: (2025)

Semi-autonomous Prosthesis Control Using Minimal Depth Information and Vibrotactile Feedback
par: Castro, Miguel Nobre, et autres
Publié: (2022)

MiVLA: Towards Generalizable Vision-Language-Action Model with Human-Robot Mutual Imitation Pre-training
par: Yin, Zhenhan, et autres
Publié: (2025)

LIT: Large Language Model Driven Intention Tracking for Proactive Human-Robot Collaboration -- A Robot Sous-Chef Application
par: Huang, Zhe, et autres
Publié: (2024)

Improving Robustness of Vision-Language-Action Models by Restoring Corrupted Visual Inputs
par: Orjuela, Daniel Yezid Guarnizo, et autres
Publié: (2026)

Mobile Robot Navigation Using Hand-Drawn Maps: A Vision Language Model Approach
par: Tan, Aaron Hao, et autres
Publié: (2025)