Abstract: The present disclosure describes an automated docking system for charging chargeable mobile devices. Conventionally, docking systems utilize expensive technology like wireless charging leading to higher cost. The system of the present disclosure provides a cost effective generic docking station with internet of things (IoT) interface for heterogeneous chargeable mobile devices which leads to precise docking. The generic design of the docking station enables docking different category of the chargeable mobile devices such as fork type, unit load type, at same docking station with different charging currents. IoT enabled docking station communicates with the chargeable mobile devices and charges them based on battery health, quick/slow charge, category, task duration and/or the like. The present disclosure brings a design flexibility to the docking station and contact pads, so that the flexible design adjusts itself in translation and rotation axis for certain degrees of freedom if there is an error in docking.

Abstract: State of art techniques utilize active systems for stronger suction in surface crawlers while the passive approaches have limitation in providing consistent grip while moving across curved surfaces or dents. Embodiments herein provide an autonomous surface crawling robot for crawling over surfaces using electro-mechanical assembly for creating strong suction force and enabling the robot to smoothly crawl over flat surfaces, horizontal/vertical/inclined surfaces, curved surfaces, and surfaces with dents. Battery powered motors are used for only mobilization, while mechanical assembly generates suction to provide consistent grip across different type of surfaces. A dual flexible cam profile assembly including a cam profile and a guide rail generates required suction and addresses the technical challenge of maintaining suction across varying surfaces without using external power for suction generation.