Aaron Saunders Deepmind Boston Dynamics

Featuring insights from

Aaron Saunders, Former CTO of

Boston Dynamics,

now Google DeepMind

Interactive World Simulator (IWS)

$ 0

Interactive World Simulator logo humanoid guide

Action-conditioned world model generating 10+ min of interactive predictions at ~15 FPS on RTX 4090; supports teleoperation and policy evaluation

Out of stock

Capabilities
5
Humanoid.Guide
Brain Score
=Brain score5


Specifications and details:

Nationality

China

Website https://www.yixuanwang.me/interactive_world_sim/
Model type

Foundation Model

Manufacturer

Research team (YXWangbot et al.)

Release date

2025

Description

Interactive World Simulator (IWS) enables humanoid robots to plan and adapt by predicting how scenes evolve over time. Instead of reacting only to the current moment, it anticipates how objects and environments will change. As a result, robots can adjust their movements and strategies before acting. Moreover, the model supports long sequences, allowing systems to simulate outcomes over many seconds. Therefore, humanoids perform tasks requiring forward thinking and precise timing with greater confidence.

Aaron Saunders Deepmind Boston Dynamics

Featuring insights from

Aaron Saunders, Former CTO of

Boston Dynamics,

now Google DeepMind

Humanoid Robot Report 2026 – Single User License

2026 Humanoid Robot Market Report

160 pages of exclusive insight from global robotics experts – uncover funding trends, technology challenges, leading manufacturers, supply chain shifts, and surveys and forecasts on future humanoid applications.

In addition, IWS supports both human-guided teleoperation and autonomous policy evaluation, providing insight into how actions unfold. Consequently, robots learn from both interaction and simulation, improving decision-making quality. Its design integrates perception and prediction, so systems can test actions mentally before executing them physically. Because the simulator runs efficiently, robots remain responsive even in rapidly changing environments. Over time, this approach bridges simulation and real-world performance, enabling smoother, more reliable general-purpose humanoid intelligence.

Contact Humanoid.guide

Website: https://www.yixuanwang.me/interactive_world_sim/