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 for both single-robot and multirobot exploration. For multirobot exploration, they introduced a “pursuit” strategy for sharing information among robots with limited communication ensuring the robots to opportunistically approach each other. Empirically their pursuit strategy demonstrated higher exploration time efficiency than conventional strategies… read more. Open Access TECHNICAL ARTICLEÂ
The three-layer architecture for a robotic system. Credit: SCIENCE ROBOTICS, 19 Jul 2023, Vol 8, Issue 80