An autonomous guided vehicle includes a chassis with a power supply and powered sections that are connected to the chassis and powered by the power supply. The powered sections include a drive section, a payload handling section, and a peripheral electronics section. A controller of the vehicle includes a comprehensive power management section communicably connected to the power supply so as to monitor a charge level of the power supply. The comprehensive power management section is connected to the drive section, the payload handling section, and the peripheral electronics section respectively powering the drive section, the payload handling section, and the peripheral electronics section from the power supply. The comprehensive power management section manages power consumption of branch circuits, of the powered sections, based on a demand level of each branch circuit relative to the charge level available from the power supply.

Embodiments relate to a charging dock which allows a mobile robot to self-dock for charging more efficiently and reliably. The charging dock has a pivoting face including a disk fashioned with charging connection points. When a robot encounters the dock, the pivoting face is able to pivot to ensure the charging disk can align with corresponding charging pickup points within the robot's charging receptor. The pivoting face improves efficiency and reliability of the robot's docking procedures.

Disclosed are a method and a system for charging a robot. A method for charging a robot according to an embodiment of the present disclosure includes monitoring a battery level of a first robot which is providing a service, determining a charging robot for charging the first robot, from a plurality of second robots, when a battery level of the first robot falls below a first threshold level, and transmitting an instruction to move to a target position to the determined charging robot, in which determining the charging robot comprises determining the charging robot based at least partly on distances between the first robot and the second robots and battery levels of the second robots. Embodiments of the present disclosure may be implemented by executing an artificial intelligence algorithm and/or a machine learning algorithm in a 5G environment connected for Internet of Things.

Robot charging dock includes a charge connector configured to mate with a charging port of a mobile robot. There is a charge connector frame having a front surface on which the charge connector is mounted. The front surface has a first side edge and a second side edge. There is a front cover disposed over the charge connector frame which has an aperture through which the charge connector protrudes. At least a portion of the front cover is spaced from the front surface of the charge connector frame, defining an internal region. There is an opening to the internal region formed along at least a portion of a perimeter of the aperture and there is a light source disposed in the internal region. The light source is directed toward the opening to allow the light source to illuminate charge connector.

A self-traveling articulated robot for working in a production factory is provided, which includes a carriage having at least two operation shafts driven by servomotors, respectively, and self-travelable in a two-dimensional plane, a robotic arm supported by the carriage and having at least one operation shaft driven by a servomotor and constituting a joint, an end effector provided to a tip portion of the robotic arm, and a control unit provided in the carriage and for controlling the operation shaft of the robotic arm and the operation shafts of the carriage to operate in cooperation with each other so that a control point defined in one of the robotic arm and the end effector reaches a target position.

In an implementation, a robotic system includes a robot, a power source exchange station, and a controller. A method of operation of the robotic system includes identifying by the controller a low-power condition of the robot, and, in response to the identifying of a low-power condition, causing by the controller the robot and the power source exchange station to exchange a first primary electrical power source from the robot for a second primary electrical power source from the power source exchange station. The first and the second primary electrical power source may be a first and a second primary battery, respectively. The robotic system may engage a secondary power source operable to maintain a power supply to the robot during the exchange. The secondary power source may be a secondary battery on-board the robot.

The present invention discloses a self-moving robot, comprising a self-moving module and at least one of a plurality of interchangeable working modules connected to the self-moving module; the working module further comprises a second energy unit, and the first energy unit comprises a chargeable battery, providing energy for the working module or the self-moving robot. The self-moving robot executes various types of working tasks in the working area in an unattended manner by disposing a self-moving module and an interchangeable working module, and by disposing the working module into an independent energy unit, the working module is sufficient in energy and long in durability.

A robot and a control method therefor are provided. The robot may include: a plurality of batteries; a first switch configured to individually supply electric energy provided from an external charger to the plurality of batteries; a second switch configured to connect the plurality of batteries; and a processor configured to: based on the external charger being connected to the robot, control the first switch such that at least one battery of the plurality of batteries is selectively charged based on respective states of charge (SOCs) of the plurality of batteries, and then remaining batteries of the plurality of batteries are charged, and based on an SOC difference between respective SOCs of at least two of the plurality of batteries reaching a difference threshold while the external charger is disconnected from the robot, control the second switch such that a source battery having a high relative SOC among the plurality of batteries charges a recipient battery having a low relative SOC among the plurality of batteries.

An electronic circuit for a surgical robotic system includes a central power node, a first voltage bus that electrically couples a first power source to the node, a second voltage bus that electrically couples a second power source to the node, and several robotic arms, each arm is electrically coupled to the node via an output circuit breaker and is arranged to draw power from the node. Each bus is arranged to provide power from a respective power source to the node and each bus has an input circuit breaker that is arranged to limit a first output current flow from the node and into the bus. Each breaker that is arranged to limit a second output current flow from the node and into a respective arm. A breaker is arranged to open in response to a fault occurring within the respective arm, while the other breakers remain closed.

A control method of an autonomous mobile robot comprises: receiving a dock signal and executing a control program according to the dock signal. The control program includes detecting a first guiding signal, a second guiding signal and a third guiding signal transmitted by the charging station via the first sensing unit, the second sensing unit and the third sensing unit, sensing a measured distance between the autonomous mobile robot and the charging station when the second guiding signal is detected by the second sensing unit, and the autonomous mobile robot moves toward the charging station or away from the charging station according to the measured distance and a first threshold, and re-executing the control program.