QuantWorlds
Interactive World Simulator
Robotics

Interactive World Simulator

by Yixuan Wang, Rhythm Syed, Fangyu Wu, Tony Dear, Yunzhu Li (Columbia University); Mengchao Zhang, Aykut Onol, Jose Barreiros (Toyota Research Institute); Hooshang Nayyeri (Amazon); Huan Zhang (University of Illinois Urbana-Champaign)·Other

A robot-manipulation research world simulator from Columbia University, Toyota Research Institute, Amazon and UIUC (presented at RSS 2026). Trains a Consistency Model on modest real robot datasets to produce a stable, ~15fps interactive simulation. Four selectable manipulation tasks are demonstrated: T Pushing, Rope Routing, Mug Grasping and Pile Sweeping, each controlled live via keyboard input to two robot end-effectors. Access is primarily via local deployment (downloading checkpoints and running a local server); an optional cloud "Connect" option exists but the project's own site warns it may be laggy or unavailable due to resource limits.

0 viewsAdded 25 August 2026

Playability

Playable

Access

Public — see note below

Cloud demo may be laggy or unavailable per the creators' own disclosure — confirmed during testing.

About this world

A robot-manipulation research world simulator from Columbia University, Toyota Research Institute, Amazon and UIUC (presented at RSS 2026). Trains a Consistency Model on modest real robot datasets to produce a stable, ~15fps interactive simulation. Four selectable manipulation tasks are demonstrated: T Pushing, Rope Routing, Mug Grasping and Pile Sweeping, each controlled live via keyboard input to two robot end-effectors. Access is primarily via local deployment (downloading checkpoints and running a local server); an optional cloud "Connect" option exists but the project's own site warns it may be laggy or unavailable due to resource limits.

Generator
Other
Category
Robotics
Added to QuantWorlds
25 August 2026

Built with

Other

Any other world-generation platform not yet listed individually.

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Created by

Y

Yixuan Wang, Rhythm Syed, Fangyu Wu, Tony Dear, Yunzhu Li (Columbia University); Mengchao Zhang, Aykut Onol, Jose Barreiros (Toyota Research Institute); Hooshang Nayyeri (Amazon); Huan Zhang (University of Illinois Urbana-Champaign)

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