ONLINE COVER Artificial Intelligence—Solving Decision-Making Problems in Dynamical Systems. Autonomous robots need the ability to adaptively make decisions in unstructured and dynamic environments. Rivière et al. have now developed Spectral Expansion Tree Search, a real-time space planning algorithm that can construct representations of the real world and converge to optimal solutions, enabling autonomous robot decision-making in complex environments. They demonstrated the ability of their framework experimentally with aerial and ground robots with the potential to discover optimal trajectories in complex environments. This month’s cover is an image of a robot mimicking a spacecraft deployed with their framework in a simulated frictionless environment. 重試    錯誤原因