Towards Accurate End-Effector Localization for UMI-Style Robotic Manipulation Teaching

cs.RO

Submitted: 2026-10-07

Updated: 2026-10-07

Comments: 9 pages, 8 figures, 5 tables. Project page: https://mild-web.github.io

Project page: https://mild-web.github.io/Abstract

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
• DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
• RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot
• UMI-Bench 1.0: An Open and Reproducible Real-World Benchmark for Tabletop Robotic Manipulation with UMI Data
• Ultra-Fusion: A Resilient Tightly-Coupled Multi-Sensor Fusion SLAM Framework under Sensor Degradation and Spatiotemporal Perturbation for Intelligent Transportation Systems
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models
• UMI-3D: Extending Universal Manipulation Interface from Vision-Limited to 3D Spatial Perception
• TagSLAM: Robust SLAM with Fiducial Markers

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