A robotic system is disclosed that include an articulated arm and a first perception system for inspecting an object, as well as a plurality of additional perception systems, each of which is arranged to be directed toward a common area in which an object may be positioned by the robotic arm such that a plurality of views within the common area may be obtained by the plurality of additional perception systems.

An arrangement for the assembly and wiring of electrical components in switchgear construction, the arrangement comprising a robot with an end effector designed as a gripper, a mounting plate holding device, with which a mounting plate is held in a mounting position with respect to the robot, and a component supply in the access area of the robot, via which components to be mounted on the mounting plate are provided for removal by the robot, wherein a controller of the robot has machine data for controlling the robot including position data for the arrangement of components on a mounting plane of a mounting plate to be equipped, wherein the robot has an optical imaging system which is adapted to detect an orientation of a mounting plate with respect to the robot, the controller of the robot being adapted to provide the position data with an offset representing the orientation of the mounting plate with respect to the robot as a function of the detected orientation. A corresponding method is further described.

A production system includes: a plurality of controllers configured to control a plurality of devices, the plurality of devices including at least one robot; and circuitry communicable with the plurality of controllers, the circuitry may be configured to: output execution commands of next tasks based on a process including a plurality of tasks for a workpiece and progress information of the process; store environment information; and update the stored environment information in accordance with operations of the plurality of devices, wherein each of the plurality of controllers is configured to control one of the plurality of devices to execute a next task corresponding to one of the execution commands based on the environment information.

Described herein are systems, devices, and methods for maintaining a valid semantic map of an environment for a mobile robot. A mobile robot comprises a drive system, a sensor circuit to sense occupancy information, a memory, a controller circuit, and a communication system. The controller circuit can generate a first semantic map corresponding to a first robot mission using first occupancy information and first semantic annotations, transfer the first semantic annotations to a second semantic map corresponding to a subsequent second robot mission. The control circuit can generate the second semantic map that includes second semantic annotations generated based on the transferred first semantic annotations. User feedback on the first or the second semantic map can be received via a communication system. The control circuit can update first semantic map and use it to navigate the mobile robot in a future mission.

Provided are a robot that calculates a level of liquid contained in a liquid container and a method for calculating such liquid level. The robot includes a robot arm to which a tool is attached to an end of the robot arm, a torque sensor disposed on the robot arm and measuring a torque value of the robot arm, and a processor that controls the robot arm and receives the torque value from the torque sensor and calculates information related to the torque value, and calculates the level value of liquid contained in the liquid container based on the information related to the torque value.

The present disclosure provides is a method and device for accurately estimating a pose of a charging socket of an electric vehicle regardless of a shape of the charging socket, so that an electric vehicle charging robot may precisely move a charging connector toward the charging socket of the electric vehicle and couple the charging connector to the charging socket. According to an aspect of an exemplary embodiment, a method of estimating the pose of the charging socket of an electric vehicle includes: acquiring an RGB image and a depth map of the charging socket; detecting a keypoint of the charging socket based on the RGB image; deriving a first estimated pose of the charging socket based on the depth map; and deriving a second estimated pose of the charging socket based on the keypoint of the charging socket and the first estimated pose.

A method of configuring robot fleets with additive manufacturing capabilities includes receiving a request for a robotic fleet to perform a job and determining a job definition data structure based on the request. The job definition data structure defines a set of tasks to be performed in furtherance of the job. The method includes determining a provisioning configuration for each additive manufacturing system based on the task to which the additive manufacturing system is assigned, the set of 3D printing requirements, the printing instructions, and the status of the additive manufacturing system. The method includes provisioning the additive manufacturing system based on the provisioning configuration and a set of additive manufacturing system provisioning rules that are accessible to an intelligence layer to ensure that provisioned systems comply with the provisioning rules. The method includes deploying the robotic fleet based on the robotic fleet configuration data structure to perform the job.

The robotic maintenance vehicle (RMV) has a propulsion system, a control system, an electrical power source, a maintenance module, a multi-axis robot, an optical system, and a location translator. The maintenance module is configured to hold different kinds of road maintenance materials. The multi-axis robot is configured to convey the road maintenance material from either the maintenance module to the road, the road to the maintenance module, or both. The optical system and the location translator are configured to be controlled by the control system and operate in conjunction to instruct the multi-axis robot where to pick up and/or place the road maintenance material. The multi-axis robot is configured to be selectively coupled to a distal arm tool.

A robotic kitchen system for preparing food items in combination with at least one kitchen appliance such as a fryer comprises an automated bin assembly, a robotic arm, and a basket held by the robotic arm. The automated bin assembly comprises at least one automated bin for holding the food items. A camera or sensor array collects image data of the food items in the bin(s). A central processor is operable to compute and provide directions to the first robotic arm and automated bin assembly based on the image data and stored data to (a) move the robotic arm to the bin; (b) actuate the bin to drop the food items from the bin into the basket; (c) and to move the basket into the fryer all without human interaction. Related methods are also described.

One variation of a method for autonomously scanning and processing a part includes: collecting a set of images depicting a part positioned within a work zone adjacent a robotic system; assembling the set of images into a part model representing the part. The method includes segmenting areas of the part model—delineated by local radii of curvature, edges, or color boundaries—into target zones for processing by the robotic system and exclusion zones avoided by the robotic system. The method includes: projecting a set of keypoints onto the target zone of part model defining positions, orientations, and target forces of a sanding head applied at locations on the part model; assembling the set of keypoints into a toolpath and projecting the toolpath onto the target zone of the part model; and transmitting the toolpath to a robotic system to execute the toolpath on the part within the work zone.