Imagen de Portada

Towards an Efficient Synthetic Image Data Pipeline for Training Vision-Based Robot Systems

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Gavriel, Peter, Norton, Adam, Kimble, Kenneth, Zimmerman, Megan
Formato:	Preprint
Publicado:	2024
Materias:	Robotics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

UA-1 PH2 DECISIVE Testing Handbook: Test Methods and Benchmarking Performance Results for sUAS in Dense Urban Environments
por: Norton, Adam, et al.
Publicado: (2025)

Towards Developing Standards and Guidelines for Robot Grasping and Manipulation Pipelines in the COMPARE Ecosystem
por: Zhao, Huajing, et al.
Publicado: (2025)

Towards Using Multiple Iterated, Reproduced, and Replicated Experiments with Robots (MIRRER) for Evaluation and Benchmarking
por: Norton, Adam, et al.
Publicado: (2024)

A Benchmarking Study of Vision-Based Robotic Grasping Algorithms: A Comparative Analysis
por: Rameshbabu, Bharath K, et al.
Publicado: (2023)

Sign Language: Towards Sign Understanding for Robot Autonomy
por: Agrawal, Ayush, et al.
Publicado: (2025)

Developing Modular Grasping and Manipulation Pipeline Infrastructure to Streamline Performance Benchmarking
por: Flynn, Brian, et al.
Publicado: (2025)

Synthetic Data Pipelines for Adaptive, Mission-Ready Militarized Humanoids
por: Habib, Mohammed Ayman, et al.
Publicado: (2025)

Threading the Needle: Test and Evaluation of Early Stage UAS Capabilities to Autonomously Navigate GPS-Denied Environments in the DARPA Fast Lightweight Autonomy (FLA) Program
por: Norton, Adam, et al.
Publicado: (2025)

Towards Robust Perception for Assistive Robotics: An RGB-Event-LiDAR Dataset and Multi-Modal Detection Pipeline
por: Scicluna, Adam, et al.
Publicado: (2024)

Synthetic Dataset Generation for Autonomous Mobile Robots Using 3D Gaussian Splatting for Vision Training
por: Deogan, Aneesh, et al.
Publicado: (2025)

A Benchmarking Study of Vision-based Robotic Grasping Algorithms
por: Rameshbabu, Bharath K, et al.
Publicado: (2025)

From Data to Safe Mobile Robot Navigation: An Efficient and Modular Robust MPC Design Pipeline
por: Benders, Dennis, et al.
Publicado: (2025)

Robust Peg-in-Hole Assembly under Uncertainties via Compliant and Interactive Contact-Rich Manipulation
por: Chen, Yiting, et al.
Publicado: (2025)

Intelligent Robotic Control System Based on Computer Vision Technology
por: Che, Chang, et al.
Publicado: (2024)

Image-Based Roadmaps for Vision-Only Planning and Control of Robotic Manipulators
por: Chatterjee, Sreejani, et al.
Publicado: (2025)

TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation
por: Wen, Junjie, et al.
Publicado: (2024)

A Hazard-Informed Data Pipeline for Robotics Physical Safety
por: Odinokov, Alexei, et al.
Publicado: (2026)

Toward a Plug-and-Play Vision-Based Grasping Module for Robotics
por: Hélénon, François, et al.
Publicado: (2023)

Novel UWB Synthetic Aperture Radar Imaging for Mobile Robot Mapping
por: Premachandra, Charith, et al.
Publicado: (2025)

Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation
por: Bu, Qingwen, et al.
Publicado: (2024)

Towards a Thermodynamical Deep-Learning-Vision-Based Flexible Robotic Cell for Circular Healthcare
por: Zocco, Federico, et al.
Publicado: (2024)

Towards Human Haptic Gesture Interpretation for Robotic Systems
por: Bianchini, Bibit, et al.
Publicado: (2020)

Attribute-Based Robotic Grasping with Data-Efficient Adaptation
por: Yang, Yang, et al.
Publicado: (2025)

Exploring the Potential of Robot-Collected Data for Training Gesture Classification Systems
por: Garcia-Sosa, Alejandro, et al.
Publicado: (2024)

Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction
por: Pandya, Ravi, et al.
Publicado: (2023)

A Synthetic Data Pipeline for Supporting Manufacturing SMEs in Visual Assembly Control
por: Werheid, Jonas, et al.
Publicado: (2025)

Synthetic vs. Real Training Data for Visual Navigation
por: Suomela, Lauri, et al.
Publicado: (2025)

Reinforcement Learning for Follow-the-Leader Robotic Endoscopic Navigation via Synthetic Data
por: Gao, Sicong, et al.
Publicado: (2026)

A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning
por: Wen, Xin, et al.
Publicado: (2025)

Towards Embodied Cognition in Robots via Spatially Grounded Synthetic Worlds
por: Currie, Joel, et al.
Publicado: (2025)

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision
por: Adami, Alessandro, et al.
Publicado: (2026)

DAVIS-Ag: A Synthetic Plant Dataset for Prototyping Domain-Inspired Active Vision in Agricultural Robots
por: Choi, Taeyeong, et al.
Publicado: (2023)

Design and Research of a Self-Propelled Pipeline Robot Based on Force Analysis and Dynamic Simulation
por: Gao, Yan, et al.
Publicado: (2025)

Improving Robotic Manipulation with Efficient Geometry-Aware Vision Encoder
por: Vuong, An Dinh, et al.
Publicado: (2025)

Evaluating Text-to-Image Diffusion Models for Texturing Synthetic Data
por: Lips, Thomas, et al.
Publicado: (2024)

Robotic Applications of Pre-Trained Vision-Language Models to Various Recognition Behaviors
por: Kawaharazuka, Kento, et al.
Publicado: (2023)

Bi-VLA: Vision-Language-Action Model-Based System for Bimanual Robotic Dexterous Manipulations
por: Gbagbe, Koffivi Fidèle, et al.
Publicado: (2024)

UltraDexGrasp: Learning Universal Dexterous Grasping for Bimanual Robots with Synthetic Data
por: Yang, Sizhe, et al.
Publicado: (2026)

Towards Autonomous Robotic Electrosurgery via Thermal Imaging
por: Riaziat, Naveed D., et al.
Publicado: (2025)

Towards Autonomous Robotic Kidney Ultrasound: Spatial-Efficient Volumetric Imaging via Template Guided Optimal Pivoting
por: Ma, Xihan, et al.
Publicado: (2026)