An in-vehicle building material processing system including: a flat cargo bed formed on a vehicle; rigid members for ensuring flatness with respect to a workpiece-receiving table formed at predetermined section of the cargo bed; clampers for fixing a building material on the workpiece-receiving table; a multi-joint robot provided with a freely swingable cutting means at its tip, which is capable of protruding in a range wider than outer periphery of the workpiece-receiving table; and a control unit having an operation unit for making the multi-joint robot to cut and process the building material desirably, wherein the control unit controls the cutting means to cut and process the building material while controlling at least either of the cutting means and the clampers to avoid a contact of the cutting means and the clampers.

The invention discloses a fully automatic intelligent rubber tapping robot, which comprises a moving platform and a rubber tapping robot arm. The rubber cutting mechanical arm is installed on the moving platform. tapping robot arm is installed on the moving platform. The tapping robot arm is specially designed for rubber cutting operation, the end of the tapping robot arm is equipped with an end actuator, which is composed of a tree-hugging fixed device and a sliding rubber tapping device. The invention can carry out the rubber cutting operation independently without manual intervention, which greatly reducing the manual input, and obviously improving the rubber cutting efficiency and time economy conversion efficiency. The movable system can work alone in a whole rubber forest with a large working area and reduces the average input cost per tree. The technical indexes of the rubber tree, such as cutting depth, cutting skin consumption and cutting smoothness, all meet the requirements of traditional rubber cutting technology and have good popularization and application value.

A manufacturing method includes locking a material to be cut against a cutting bed, stabilizing the material against the cutting bed, and cutting the material.

A wirelessly powered and controlled robotic apparatus enabling performance of tasks within a three-dimensional space includes a rail, a robotic unit, and a tool. The rail comprises negative and second paths to carry an electrical current. The robotic unit comprises a microcontroller having a drive motor and a transceiver engaged thereto and is engaged to and electrically coupled to the rail. A transfer unit is engaged to both the drive motor and the rail and thus can translate rotation of the drive motor to a force to motivate the robotic unit along the rail. The microcontroller selectively actuates the transfer unit to move the robotic unit along the rail to a location. The transceiver receives commands wirelessly from a control unit and transmits data thereto. The tool is engaged to the robotic unit and can perform a task at, or proximate to, the location.

A method performed by a robotic garden system for controlling a robotic garden tool (1). The system comprises the robotic garden tool (1), a control unit, and a database. The method comprises the steps of: A. Retrieving a predetermined route (3) for a working area (4). The predetermined route (3) is based on a travel angle (6). The travel angle (6) is an angle extending from a starting point (7). The working area (4) delimits the travel of the robotic garden tool (1). A route data set comprises a plurality of predetermined routes. Each predetermined route has a travel angle substantially being different from all other travel angles of all other predetermined routes. B. Controlling the robotic garden tool (1) to start from the starting point (7) and move along the retrieved predetermined route (3).

A method for automatically processing a structure-reinforcing member of an aircraft, including: (S1) acquiring, by a handheld laser scanner, data of an area to be reinforced of the aircraft; (S2) controlling a robotic arm to automatically grab the reinforcing member for automatic scanning; (S3) setting a cutting path in a computer aided design (CAD) digital model followed by registration with real data to obtain an actual cutting path, and cutting the reinforcing member; (S4) controlling the robotic arm to guide a cut reinforcing member to a scanning area for automatic scanning; and (S5) subjecting point cloud data of the cut reinforcing member and the area to be reinforced to virtual assembly and calculating a machining allowance to determine whether an accuracy requirement is met; if yes, ending a task; otherwise, grinding the reinforcing member automatically, and repeating steps (S4)-(S5).

The disclosure provides a robotic mower and a control method, a system and a storage medium thereof. The control method includes: controlling the robotic mower to move to a starting point; selecting a path map from a pre-stored path map set; and controlling the robotic mower to move and work according to the selected path map. The path map set is a path map pre-planned according to different moving angles according to a working area of the robotic mower. With the disclosure, it may ensure that the robotic mower walks along different paths each time it works, thereby avoiding ruts caused by repeated rolling of the working area.

A controller is configured to obtain first image data from a camera associated with a ticket machine; transmit the first image data to an application server; receive, from the application server, a first command for the ticket machine; cause the ticket machine to provide, based on the first command, a ticket having a scratching area; cause a robotic scratching device to scratch, or remove an opaque substance from, the scratching area of the ticket in accordance with a scratching command; and obtain second image data including an image of the scratching area of the ticket while the robotic scratching device scratches the scratching area.

An allograft optimization system utilizes an optical system to determine the outer perimeter of a tissue blank for allograft cutting therefrom. The optical system determines an optimal allograft array pattern that can be derived from the irregular tissue blank and may include a plurality of various allograft shapes and sizes. A computer operates an allograft optimization computer program that receives input regarding the outer perimeter of the tissue blank. A cutting implement, such as a laser, is configured to cut the allografts from the irregularly shaped tissue blank according the allograft array pattern. The cutting implement is automatically actuated by an actuator with respect to the tissue blank to cut the allografts therefrom. The cutting implement may be a laser or a galvo laser that is directed by one or more mirrors. The tissue may be birth tissue including placental tissue and amnion.

An end effector includes a cutting mechanism, a gripping mechanism, and a pivot component. The cutting mechanism and the gripping mechanism are coupled to the pivot component. The cutting mechanism is coupled to a first portion of the pivot component and the gripping mechanism is coupled to a second portion of the pivot component.