Image de couverture de livre

Closing the Loop in Teleoperation: Episode-Level Data Quality Assessment and Feedback for High-Quality Demonstration Collection

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Narayanan, Gokul, Shahapurkar, Yash, Erdogan, Melih, Zhu, Brian, Solowjow, Eugen
Format:	Preprint
Publié:	2026
Sujets:	Robotics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Robotic Automation in Apparel Manufacturing: A Novel Approach to Fabric Handling and Sewing
par: Ajith, Abhiroop, et autres
Publié: (2025)

WHED: A Wearable Hand Exoskeleton for Natural, High-Quality Demonstration Collection
par: Zhu, Mingzhang, et autres
Publié: (2026)

Augmented Reality-Enhanced Robot Teleoperation for Collecting User Demonstrations
par: Gong, Shiqi, et autres
Publié: (2025)

CLONE: Closed-Loop Whole-Body Humanoid Teleoperation for Long-Horizon Tasks
par: Li, Yixuan, et autres
Publié: (2025)

CLOT: Closed-Loop Global Motion Tracking for Whole-Body Humanoid Teleoperation
par: Zhu, Tengjie, et autres
Publié: (2026)

A Factory-Floor Deployment Case Study of VLA Pipelines for Industrial Packaging Task: Workflow, Failures, and Lessons
par: Zhu, Brian, et autres
Publié: (2026)

RDGen: Demonstration Generation for High-Quality Robot Learning via Reinforcement Learning
par: Zhu, Zijian, et autres
Publié: (2026)

Phone2Act: A Low-Cost, Hardware-Agnostic Teleoperation System for Scalable VLA Data Collection
par: Mandhane, Om, et autres
Publié: (2026)

SuFIA-BC: Generating High Quality Demonstration Data for Visuomotor Policy Learning in Surgical Subtasks
par: Moghani, Masoud, et autres
Publié: (2025)

Acoustic Feedback for Closed-Loop Force Control in Robotic Grinding
par: Zhang, Zongyuan, et autres
Publié: (2026)

HiDrive: A Closed-Loop Benchmark for High-Level Autonomous Driving
par: Xia, Zhongyu, et autres
Publié: (2026)

Echo: An Open-Source, Low-Cost Teleoperation System with Force Feedback for Dataset Collection in Robot Learning
par: Bazhenov, Artem, et autres
Publié: (2025)

Consistency Matters: Defining Demonstration Data Quality Metrics in Robot Learning from Demonstration
par: Sakr, Maram, et autres
Publié: (2024)

Integrating and Evaluating Visuo-tactile Sensing with Haptic Feedback for Teleoperated Robot Manipulation
par: Becker, Noah, et autres
Publié: (2024)

ARCap: Collecting High-quality Human Demonstrations for Robot Learning with Augmented Reality Feedback
par: Chen, Sirui, et autres
Publié: (2024)

TAMEn: Tactile-Aware Manipulation Engine for Closed-Loop Data Collection in Contact-Rich Tasks
par: Wu, Longyan, et autres
Publié: (2026)

Towards Effective Utilization of Mixed-Quality Demonstrations in Robotic Manipulation via Segment-Level Selection and Optimization
par: Chen, Jingjing, et autres
Publié: (2024)

Prometheus: Universal, Open-Source Mocap-Based Teleoperation System with Force Feedback for Dataset Collection in Robot Learning
par: Satsevich, S., et autres
Publié: (2025)

Input-gated Bilateral Teleoperation: An Easy-to-implement Force Feedback Teleoperation Method for Low-cost Hardware
par: Kanai, Yoshiki, et autres
Publié: (2025)

Representation Alignment from Human Feedback for Cross-Embodiment Reward Learning from Mixed-Quality Demonstrations
par: Mattson, Connor, et autres
Publié: (2024)

Learning Variable Compliance Control From a Few Demonstrations for Bimanual Robot with Haptic Feedback Teleoperation System
par: Kamijo, Tatsuya, et autres
Publié: (2024)

Few-shot Sim2Real Based on High Fidelity Rendering with Force Feedback Teleoperation
par: Zou, Yanwen, et autres
Publié: (2025)

Influence of Gripper Design on Human Demonstration Quality for Robot Learning
par: Georgadarellis, Gina L., et autres
Publié: (2026)

Closed-Loop Verbal Reinforcement Learning for Task-Level Robotic Planning
par: Plotnikov, Dmitrii, et autres
Publié: (2026)

Quantifying Demonstration Quality for Robot Learning and Generalization
par: Sakr, Maram, et autres
Publié: (2022)

Leveraging Haptic Feedback to Improve Data Quality and Quantity for Deep Imitation Learning Models
par: Cuan, Catie, et autres
Publié: (2022)

TriPilot-FF: Coordinated Whole-Body Teleoperation with Force Feedback
par: Li, Zihao, et autres
Publié: (2026)

Tabero: Learning Gentle Manipulation with Closed-Loop Force Feedback from Vision, Touch, and Language
par: Wu, Qiwei, et autres
Publié: (2026)

DoorBot: Closed-Loop Task Planning and Manipulation for Door Opening in the Wild with Haptic Feedback
par: Wang, Zhi, et autres
Publié: (2025)

CHILD (Controller for Humanoid Imitation and Live Demonstration): a Whole-Body Humanoid Teleoperation System
par: Myers, Noboru, et autres
Publié: (2025)

Taming VR Teleoperation and Learning from Demonstration for Multi-Task Bimanual Table Service Manipulation
par: Li, Weize, et autres
Publié: (2025)

Automated Assessment and Adaptive Multimodal Formative Feedback Improves Psychomotor Skills Training Outcomes in Quadrotor Teleoperation
par: Jensen, Emily, et autres
Publié: (2024)

Quality over Quantity: Demonstration Curation via Influence Functions for Data-Centric Robot Learning
par: Lee, Haeone, et autres
Publié: (2026)

CDF-Glove: A Cable-Driven Force Feedback Glove for Dexterous Teleoperation
par: Liang, Huayue, et autres
Publié: (2026)

Towards Universal Shared Control in Teleoperation Without Haptic Feedback
par: Grobbel, Max, et autres
Publié: (2025)

Denoising Diffusion Planner: Learning Complex Paths from Low-Quality Demonstrations
par: Nikken, Michiel, et autres
Publié: (2024)

On Foundation Models for Dynamical Systems from Purely Synthetic Data
par: Ziegler, Martin, et autres
Publié: (2024)

A Closed-Form Geometric Retargeting Solver for Upper Body Humanoid Robot Teleoperation
par: Kong, Chuizheng, et autres
Publié: (2026)

ACE-F: A Cross Embodiment Foldable System with Force Feedback for Dexterous Teleoperation
par: Yan, Rui, 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)