In a method for charging an electric device by a service rendering system, a controller of the service rendering system receives an image captured by an image sensor and processes the image to identify a label in the image as corresponding to the electric device. The controller obtains a service point location encoded in the label, where the service point location includes a location relative to a location of the label. The controller obtains service information included in the label, where the service request includes a charging service, and the charging service includes a description of an electric charging input of the electric device. The controller calculates a label position of the label using the image of the label and calculates a service point position using the service point location and the label position, where the service point position includes the electric charging input.

A robot task system includes: a robot; a transfer device configured to be driven to transfer a plurality of workpieces thereon by a specific distance at a time, the plurality of workpieces being placed within the specific distance; a driving management unit configured to manage a driving distance and a driving start timing of the transfer device for driving the transfer device each time; a task position generation unit configured to generate a plurality of task positions at the driving start timing managed by the driving management unit, the plurality of task positions being positions for the robot to execute a predetermined task on the plurality of workpieces; a task unit configured to update, according to the driving of the transfer device, the plurality of task positions generated by the task position generation unit and generate a task command to cause the robot to execute the predetermined task on the plurality of workpieces while following the plurality of workpieces; and a control unit configured to control the transfer device based on the driving distance and the driving start timing of the transfer device, and control the robot based on the task command generated by the task unit.

Provided are methods and apparatus for environment-adaptive robotic disinfecting. In an example, provided is a method that can include (i) creating, from digital images, a map of a structure; (ii) identifying a location of a robot in the structure; (iii) segmenting, using a machine learning-based classifying algorithm trained based on object affordance information, the digital images to identify potentially contaminated surfaces within the structure; (iv) creating a map of potentially contaminated surfaces within the structure; (v) calculating a trajectory of movement of the robot to move the robot to a location of a potentially contaminated surface in the potentially contaminated surfaces; and (vi) moving the robot along the trajectory of movement to position a directional decontaminant source adjacent to the potentially contaminated surface. Other methods, systems, and computer-readable media are also disclosed.

One or more embodiments of the present disclosure relate generally to the field of robotic grasping systems, and in particular to an active robotic manipulator that includes a passive grasping component so that the robotic manipulator can grasp a wide variety of objects and simultaneously provide soft grasping features which reduce the risk of damage to objects.

A storage system for storing product items includes a grid structure and a number of first storage bins configured to be stored in vertical stacks in the grid structure. Each first storage bin is configured to contain at least one product item. A vehicle is arranged to move horizontally at the top level of the grid structure, and further arranged to pick up, carry, and place the first storage bins at desired locations within the grid structure. The storage system further includes a robot device that includes a movable arm with a picking mechanism in one end thereof. The robot device is configured to move a storage item between a first location and a second location by means of its picking mechanism. The first location is the location of a first storage bin stored in the storage grid.

A robotic kitting machine is disclosed. In various embodiments, a robotic arm is used to move an item to a location in proximity to a slot into which the item is to be inserted. Force information generated by a force sensor is received via a communication interface. The force sensor information is used to align a structure comprising the item with a corresponding cavity comprising the slot, and the item is inserted into the slot.

An adaptive robot grasp planning technique for bin picking. Workpieces in a bin having random positions and poses are to be grasped by a robot and placed in a goal position and pose. The workpiece shape is analyzed to identify a plurality of robust grasp options, each grasp option having a position and orientation. The workpiece shape is also analyzed to determine a plurality of stable intermediate poses. Each individual workpiece in the bin is evaluated to identity a set of feasible grasps, and the workpiece is moved to the goal pose if such direct movement is possible. If direct movement is not possible, a search problem is formulated, where each stable intermediate pose is a node. The search problem is solved by evaluating the feasibility and optimality of each link between nodes. Feasibility of each link is evaluated in terms of collision avoidance constraints and robot joint motion constraints.

A system for connecting a first ship to a second ship, the system having a plurality of target items coupled to the second ship, a camera module coupled to the first ship and configured to provide information comprising positions of images of the target items in a FOV, and a processor coupled to the camera module and a memory and configured to determine a first position and a first orientation of the second ship relative to the first ship.

According to one embodiment, a processing system teaches an operation to a robot. The robot includes a detector including detection elements arranged along first and second directions, and a manipulator to which the detector is mounted. The processing system performs position teaching processing. The position teaching processing includes causing the detector to perform a probe of a weld portion of a joined body. The probe includes a transmission of an ultrasonic wave and a detection of a reflected wave. The position teaching processing includes calculating a center position of the weld portion in a first plane based on first intensity data of an intensity of the reflected wave, setting a teaching point of the robot based on a first position of the detector, and moving the detector along the first plane to a second position, and setting the teaching point based on the second position.

A method for controlling a serving robot is provided. The method includes the steps of: acquiring first sensor data on at least one object placed on a support coupled to a serving robot, using at least one first sensor coupled to the serving robot; deciding whether the at least one object is a serving object on the basis of the first sensor data, and when the at least one object is decided to be a serving object, determining properties of illumination of the serving robot to be applied to the serving object on the basis of the first sensor data; and dynamically changing the properties of the illumination of the serving robot on the basis of information on surroundings acquired during travel of the serving robot.