RSS 2026 实录：当 AGI 撞上「物理之墙」，想象力成为具身智能的第一生产力

TL;DR - A report from RSS 2026’s Robot World Models workshop argues that robotics is shifting from memorizing action trajectories toward predicting outcomes in simulated physical worlds. This could improve generalization, safety, and data efficiency while reducing dependence on costly real-world demonstrations.

• Pi demonstrated using goal images and visual reasoning to transfer human-video knowledge across tasks and robot embodiments without task-specific teleoperation data.
• OpenDrive Lab’s compositional approach separates dynamics prediction from value evaluation, enabling modular safety assessment and simulation of failure paths.
• NVIDIA presented Cosmos 3 as an open, multimodal world-model stack spanning text, vision, audio, and actions, with model sizes targeting servers and Jetson-class edge devices.
• Workshop demonstrations highlighted long-horizon interactive simulation, zero-real-data sim-to-real tasks, and low-cost acoustic sensing for contact and pressure control.