English

TeachAnything: A Multimodal Crowdsourcing Platform for Training Embodied AI Agents in Symmetrical Reality

Artificial Intelligence 2026-05-15 v1

Abstract

Symmetrical Reality (SR) is emerging as a future trend for human-agent coexistence, placing higher demands on agents to acquire human-like intelligence. It calls for richer and more diverse human guidance. We introduce a three-stage demonstration paradigm integrating multimodal demonstration signals. Building on this paradigm, we developed TeachAnything, a cloud-based, crowdsourcing-oriented demonstration platform with physics simulation capable of collecting diverse demonstration data across varied scenes, tasks, and embodiments. By unifying virtual and physical interactions through both methodological design and physics simulation, the system serves as a practical foundation for developing embodied agents aligned with Symmetrical Reality.

Keywords

Cite

@article{arxiv.2605.14556,
  title  = {TeachAnything: A Multimodal Crowdsourcing Platform for Training Embodied AI Agents in Symmetrical Reality},
  author = {Zidong Liu and Rongkai Liu and Yue Li and Zhenliang Zhang},
  journal= {arXiv preprint arXiv:2605.14556},
  year   = {2026}
}

Comments

5 pages, 3 figures. Accepted as an IEEE VR 2026 Poster