mlsanityData to 7 Oct 2026

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

arXiv 2605.14556 ↗First posted 14 May 2026cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 5 references that are in the map. First posted on arXiv 14 May 2026.

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References · 4

  1. 2023RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Controlcited by 2,993
  2. 2023Reconstructing Hands in 3D with Transformerscited by 298
  3. 2018RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitationcited by 202
  4. 2024On the Emergence of Symmetrical Realitycited by 8

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