Methods, systems, and apparatus for an automated platform system. The automated platform system includes a docking station and a personal device connected to an automated robot platform. The automated robot platform includes one or more arms and an adjustable platform surface. The automated robot platform includes one or more imaging devices configured to receive imaging feedback and one or more transportation components coupled to the base. The one or more transportation components are configured to move in multiple directions. The automated robot platform includes one or more data processors that are configured to obtain imaging feedback. The one or more data processors are configured to operate the one or more transportation components to move in multiple directions to a first location based on the imaging feedback, and adjust the adjustable platform surface to a first height and a first angle.

A multiple hydraulic robot system for precisely installing a girder according to the present disclosure may comprise: four hydraulic robots connected to both sides of two connection plates which are coupled to both ends of the top surface of a girder installed between bridge piers and to which cables of a crane are connected, wherein the robots move the girder horizontally and vertically; a hydraulic system for operating actuators of the four hydraulic robots; and a controller which controls the remotely operated four hydraulic robots by means of a synchronization control algorithm to precisely adjust the installing position of the girder.

A first method comprising: predicting a scene of an environment using a model of the environment and based on a first scene of the environment obtained from sensors observing scenes of the environment; comparing the predicted scene with an observed scene from the sensors; and performing an action based on differences determined between the predicted scene and the observed scene. A second method comprising applying a vibration stimuli on an object via a computer-controlled component; obtaining a plurality of images depicting the object from a same viewpoint, captured during the application of the vibration stimuli. The second method further comprising comparing the plurality of images to detect changes occurring in response to the application of the vibration stimuli, which changes are attributed to a change of a location of a boundary of the object; and determining the boundary of the object based on the comparison.

Illustrative embodiments provide a method by which artificial intelligence in combination with vision systems or cameras cooperate with a robot to automate a process for inspecting a workpiece. An illustrative method includes providing a set of cameras to image a set of workpieces that are randomly disposed in a storage area. A controller employing a neural network trained to identify workpieces then processes images from the set of cameras to identify each workpiece, and uses workpiece identity to customize the operation of an inspection system.

A gripper assembly includes a base having a hollow area extending in a first direction, at least three grippers arranged along a circumference of the base, the at least three grippers configured to be rotatable about respective rotational axes extending in the first direction, and a first power transmitter configured to rotate the at least three grippers at the same time in a first rotational direction about the respective rotational axes.

An equipment for automatically feeding parcels to a sorting conveyor, the equipment having a platform for temporarily storing a pile of parcels arranged loosely, a first vision system designed to form a digital image of the loose pile of parcels while the pile is stationary on the platform, a processor unit having setting data for responding to the digital image by identifying a parcel for singulating that presents a grip face that is not covered by another parcel, and by supplying indicative data about the three-dimensional position, the orientation in three dimensions, and the dimensions of the grip face, and a pneumatic gripper head of a robotic arm that is controlled on the basis of the data so as to take hold of the parcel for singulating by its grip face.

A robot tool, a robot system and a method for packaging coils of sheet metal. A robot tool for coil packaging, having two ends, each end being provided with a coupling tool piece configured to interface with a robot arm; a roll holder shaft configured to hold a roll of wrapping material, the holder shaft at one end being rotatably mounted substantially midway between said ends and projecting substantially perpendicular to an axis extending between said ends. A robot system for coil packaging, having two industrial robots, each robot being provided with a robot arm having a coupling robot piece configured to interface with a robot tool; and a robot tool, the robot tool having two ends, each end being provided with a coupling tool piece configured to interface with a said robot arm.

Methods and apparatuses for detecting one or more objects (e.g., dropped objects) by a robotic device are described. The method comprises receiving a distance-based point cloud including a plurality of points in three dimensions, filtering the distance-based point cloud to remove points from the plurality of points based on at least one known surface in an environment of the robotic device to produce a filtered distance-based point cloud, clustering points in the filtered distance-based point cloud to produce a set of point clusters, and detecting one or more objects based, at least in part, on the set of point clusters.

Methods and apparatus for determining a grasp strategy to grasp an object with a gripper of a robotic device are described. The method comprises generating a set of grasp candidates to grasp a target object, wherein each of the grasp candidates includes information about a gripper placement relative to the target object, determining, for each of the grasp candidates in the set, a grasp quality, wherein the grasp quality is determined using a physical-interaction model including one or more forces between the target object and the gripper located at the gripper placement for the respective grasp candidate, selecting, based at least in part on the determined grasp qualities, one of the grasp candidates, and controlling the robotic device to attempt to grasp the target object using the selected grasp candidate.

Methods and apparatus for object detection and pick order determination for a robotic device are provided. Information about a plurality of two-dimensional (2D) object faces of the objects in the environment may be processed to determine whether each of the plurality of 2D object faces matches a prototype object of a set of prototype objects stored in a memory, wherein each of the prototype objects in the set represents a three-dimensional (3D) object. A model of 3D objects in the environment of the robotic device is generated using one or more of the prototype objects in the set of prototype objects that was determined to match one or more of the 2D object faces.