RoboAnnotatorX: A Comprehensive and Universal Annotation Framework for Accurate Understanding of Long-horizon Robot Demonstration

Jul 10, 2025·
Longxin Kou
,
Fei Ni
,
Jianye Hao
,
Peilong Han
,
Jinyi Liu
Jinyi Liu
,
Haiqin Cui
,
Rui Liu
,
Yan Zheng
· 0 min read
Type
Publication
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2025

Overview

This paper presents RoboAnnotatorX, a comprehensive and universal framework for annotating long-horizon robot demonstrations to enable accurate understanding.

Venue. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2025

Embodied AI Robotics Computer Vision Annotation Robot Demonstration
Jinyi Liu
Authors
Jinyi Liu
Ph.D. Candidate Reinforcement Learning and LLM Systems
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