Provided are systems and apparatuses for manufacturing aircraft support structures. An example robotic end effector comprises a rotatable reel with a flat strip of material wound around the reel. The end effector further includes a forming shoe including a forming surface contacting the strip of material. A first end of the forming surface corresponds to a start shape and a second end of the forming surface corresponds to an end shape. As the strip of material passes from the first end of the forming surface to the second end of the forming surface, the strip of material transitions from the first shape to the end shape and is deposited as a formed stringer ply onto an application surface. The forming shoe may further include a vacuum system to suction air through a plurality of ports along the forming surface to urge the strip of material against the forming surface.

Embodiments of the disclosure provide a transfusion guiding robot and a guiding method for guiding a movement of a transfused person. The transfusion guiding robot comprises a controller, a moving portion and a fixing portion. The controller is configured to receive and process instruction information, and control the transfusion guiding robot according to the instruction information; the moving portion is configured to move according to a command from the controller; and the fixing portion is configured to fix a container, a height of the fixing portion being adjustable.

Disclosed is a transporting robot which executes a mounted artificial intelligence (AI) algorithm and/or machine learning algorithm and communicates with different electronic devices and external servers in a 5G communication environment. The transporting robot includes a wheel driver, a loading box, and a robot controller. The transporting robot is provided such that a transporting service using an autonomous robot may be provided.

A computer-implemented method includes detecting, at a processor and by a plurality of associates, a mission to be performed by the plurality of associates; identifying the mission based on associated store information comprising an inventory status, sales data, and a set of predetermined rules; generating, by the processor, a queue of tasks to complete the mission based on priorities and dependencies of the tasks; determining a task for each associate whose profile defines best abilities matching a predetermined task dataset and the associated store information; assigning the queue of tasks to the plurality of the associates to complete the tasks; receiving, from each of the associates, a notification of a completion of an assigned task; verifying, by the processor, the completion of the assigned task; and determining, by the processor, completion of the mission when each task for the mission is verified to be completed.

A robot cell including a structure delimiting a cell with a closed section, typically polygonal, in particular rectangular, with metallic corner posts, extending vertically to the edges of the cell, the corner posts being preferably equipped at the lower ends of the posts with underframes intended to bear on the ground, metallic upper crossbars linking, in pairs, the upper ends of the posts over a periphery of the section cell, a central support formed by the assembly of metallic elements, extending over the cell between the upper crossbars resting locally at fastening supports on the upper crossbars, at intermediate areas of the upper crossbars, and a parallel-kinematics robot, housed within the volume of the cell.

There is provided a cleaning robot including a light source module, an image sensor and a processor. The light source module projects a line pattern and a speckle pattern toward a moving direction. The image sensor captures an image of the line pattern and an image of the speckle pattern. The processor calculates one-dimensional depth information according to the image of the line pattern and calculates two-dimensional depth information according to the image of the speckle pattern.

A computer-controlled robotic arm performs operations upon a workpiece, such as a knife with a blade that requires sharpening, by a set of one or more workstations, such as a grinder and a polisher. A position target having a defined surface profile is attached to the robot arm and scanned by a profilometer to determine a relative position of the arm with respect to a target centerpoint feature. The arm is then used to manipulate the centerpoint feature to locate operating features, such as a grinder's grinding surface, of the various workstations in the robot arm's coordinate system. A workpiece grasped by the robot arm is then scanned along with the target or another target to locate and profile the workpiece relative to the target. Based on the determined profile and positional relationships, the robot arm manipulates the workpieces so as to be operated upon by the workstations.

An embodiment includes a method of determining a collision-free space for a robotic welding system. The method includes fixing a location of a part to be welded in a 3D coordinate space of a robotic welding system. An arm of the robotic welding system is moved around the part within the 3D coordinate space. Data corresponding to positions and orientations of the arm in the 3D coordinate space are recorded as the arm is moved within the 3D coordinate space around the part. The data is translated to swept volumes of data within the 3D coordinate space. The swept volumes of data are merged to generate 3D geometry data representing a continuous collision-free space within the 3D coordinate space.

An apparatus includes a platform configured to traverse a stationary base along a motion path; a drive coupled to the platform; and a movable arm assembly. The movable arm assembly includes a pivoting base connected to the drive, first and second linkages connected to the pivoting base, each linkage having links connected via rotary joints and each link having at least one end-effector. The platform is configured to traverse the stationary base along a motion path in two opposing directions and the drive and the movable arm assembly are configured to cause independent and simultaneous movement and transfer of substrates from at least one of a first substrate holding area, a second substrate holding area, a third substrate holding area, or a fourth substrate holding area into or from a respective substrate workstation.

A cleaning machine and a path planning method of the cleaning machine are provided. According to one embodiment of the invention, a cleaning machine for cleaning a surface is provided. The cleaning machine includes a sensing module and a control system. The sensing module senses an environment of the cleaning machine to obtain map data. The control system divides the map data into multiple blocks, and controls the cleaning machine to perform a first cleaning process and a second cleaning process in a current block of the blocks, and then controls the cleaning machine to move to a next block of the blocks.