Automatic precision docking for autonomous mobile robot in hospital logistics - case-study: battery charging

Abstract

Autonomous Mobile Robots (AMRs) plays a vital role in various logistic applications, especially in the health industry. Precise localization is required for automated navigation of the robot throughout the operations. Docking is one of the key processes that the robot moves and physically attaches to the station. Higher precision in position and orientation is required for this process to ensure the secured connection. This article presents an implementation of precise docking maker technique for localization of the robot. The robot is equipped with affordable Lidar sensor while a geometrical marker is on the docking station. The proposed method should help the robot achieve better than ±20 mm error and 0.05rad error in position and orientation.

Metal–air batteries for powering robots

“…Autonomous mobile robots (AMRs) are a type of robot system designed to move payloads or perform specific tasks, requiring efficient, precise, and streamlined workflows. 154,155 With the advancement of sensor and information storage technologies, AMRs are being deployed in increasingly complex environments. Common AMRs include vacuum cleaners, lawn mowers, and logistics robots.…”

A multi-stage localization framework for accurate and precise docking of autonomous mobile robots (AMRs)

“…For instance, an approach involving vision-based object recognition developed using neural network architectures, as demonstrated by Nowak et al [27], has made it possible for autonomous buses to approach charging stations. In other studies, a similar structure has been constructed using geometric markers such as V-shaped [28,29], L-shaped, VL-shaped, and bar-shaped markers [30]. Some research projects have also explored positioning in docking areas by utilizing special reflector tapes that change intensity values when laser beams are reflected [31].…”