Science Daily  July 21, 2023 Researchers at Carnegie Mellon University has proposed dual-resolution scheme to achieve time-efficient autonomous exploration with one or many robots using a high-resolution local map of the robot’s immediate vicinity and a low-resolution global map of the remaining areas of the environment. The high-resolution bounded local map ensures that the robots observe the entire region in detail and the computation burden is bounded. The low-resolution global map directs the robot to explore the broad space and only requires lightweight computation and low bandwidth to communicate among the robots. Their paper shows the strength of this approach […]