RoboScape: Physics-informed Embodied World Model
Yu Shang, Xin Zhang, Yinzhou Tang, Lei Jin, Chen Gao, Wei Wu, Yong Li
2025-07-01
Summary
This paper talks about RoboScape, a new type of computer model that combines videos and physics knowledge to better understand and predict the movements and actions of robots in the real world.
What's the problem?
The problem is that many models can create videos showing robots moving, but they don’t always follow the rules of physics, making the movements look unrealistic or impossible. This makes it hard for robots to act properly based on these models.
What's the solution?
The researchers created RoboScape, which uses information about how objects move and behave physically combined with video generation. This helps the model produce videos where robots move in ways that make sense physically, improving both how realistic the videos look and how well the robots can predict their actions.
Why it matters?
This matters because making sure robots move according to real-world physics is important for safely and effectively using robots in everyday tasks. RoboScape’s approach helps robots understand their environment better and act in more believable and reliable ways.
Abstract
RoboScape is a physics-informed world model that integrates RGB video generation and physics knowledge, improving visual fidelity and physical plausibility in robotic scenarios.