This invention provides a system and method for allowing motion of a robotic manipulator on an AV truck in connecting to a native gladhand on a trailer front that represents and constructs a model of this free space on-the-fly, in the manner of an Obstacle Detection and Obstacle Avoidance (OD/OA) system and process. A robotic arm on an AV truck is adapted to connect a pneumatic line to a gladhand on the trailer front. A first 3D sensor generates a pointcloud, and is located at an elevated position on the truck to image the trailer front. A second 3D sensor also generates pointclouds at during robot motion, located adjacent to an end of the robotic arm. An occlusion mapping process generates an occlusion map of the trailer front, and a map update process updates the occlusion map to add and remove voxels therefrom to allow safe guidance of the robot.

The article transport vehicles are equipped with wireless tags that transmit tag information, and an article transport facility includes: a transport control apparatus that controls the entrance of the vehicles into the control area such that the number of vehicles that are present in one control area is no greater than a control number; a plurality of access points; and a position detection apparatus that detects the respective positions of the vehicles with an accuracy with which a plurality of positions in the control area are distinguishable, based on the same tag information that has been received by the access points. The transport control apparatus permits a number of vehicles, the number being greater than the control number, to enter the control area if a predetermined permission condition is satisfied, based on the positional information that indicates the position of each vehicle.

A method for the protection of a work area of a mobile logistics robot in changing work environments, the method including controlling the mobile logistics robot using a control system, scanning the current work environment using a sensor system, monitoring the current work environment using a safety system, in which the control system autonomously defines a planned safe work area in a new work environment, and the safety system autonomously verifies and monitors the defined work area as a clear protection zone, and in the event of a breach of the clear protection zone by the entry of an object into the clear protection zone, the mobile logistics robot is automatically placed in a safe status.

A system and a method of operating an automated guided vehicle includes: an Automated Guided Vehicle (AGV) which is loaded with a component and transfers the component along a set travelling path in a vehicle production factory; a Programmable Logic Controller (PLC) which is provided in a process line and each of a plurality of nodes existing on the travelling path and controls a peripheal automation facility; and an operation server which is configured to control an operation of the AGV and each automation facility through the PLC, and sets a PLC control condition for controlling each automation facility for each section by collecting PLC memory data from the PLC and inquiring the PLC memory data based on a movement position of the AGV when the travelling path is set.

An industrial internet of things based on identification of material transportation obstacles, a control method and a storage medium are provided. The industrial internet of things comprises a service platform, a management platform and a sensor network platform which are connected in sequence, wherein the management platform comprises: an obtaining module, a selection module, classification module, calculation module, a planning module, a control module and a communication module. According to the industrial Internet of Things based on identification of material transportation obstacles, the control method and the storage medium, the selection efficiency of a new route in the event of material transportation obstacles can be effectively improved by classifying, planning and calculating intermediate paths. In addition, the data redundancy is low, the calculation cost and the time cost are low, and the impact of material transportation obstacles on material loading on an ultra-large-scale production line is reduced.

A method and system for motion planning for robots with a redundant degree of freedom. The technique computes a collision avoidance motion plan for a robot with a redundant degree of freedom, without artificially constraining the extra degree of freedom. The motion planning is formulated as a quadratic programming optimization calculation having a multi-component objective function and a collision avoidance constraint function. The formulation is efficient enough to compute the motion plan in real time at every robot control cycle. The collision avoidance constraint ensures clearance of all parts of the robot from both static and dynamic obstacles. Objective function terms include minimizing path deviation, joint velocity regularization and robot configuration or pose regularization. Weighting factors on the terms of the objective function are changeable for each control cycle calculation based on obstacle proximity conditions at the time.

An autonomous moving transfer robot, including a main body with a base and a vertical plate; a traveling mechanism having a driving wheel and a driven wheel mounted on the base; a working mechanism having two manipulators, each with a mechanical arm, a proximal end of which is connected to the vertical plate, and a clamp pivotally connected to a distal end of the mechanical arm; the mechanical arms enable the clamps to reach a desired position, and the manipulators drive the clamps to grip and release a target object; a carrying mechanism having a plurality of plate-shaped carrying members for carrying the target object, the carrying members being fixed on the same side of the vertical plate, and arranged at intervals along the vertical direction; and a control system for controlling the walking/stopping and steering of the traveling mechanism and the movement of the manipulators.

A mounting system of the present disclosure includes a mounting line having multiple mounting machines aligned side by side in a predetermined arrangement and configured to mount a component on a board, a supply device configured to convey members for use in the mounting machines and supply the members to the mounting machines by traveling in the arrangement direction, and a reporting section configured to issue a warning when the members are not supplied to the mounting machines by the supply device.

A method for managing tracklets in a particle filter estimation framework includes executing a tracklet prediction dependent on a list of previous tracklets, thereby determining persistent tracklets and new tracklets; sampling new measurements for initializing the new tracklets, thereby determining an amount of estimated new tracklets; and determining an amount of the persistent tracklets dependent on the list of previous tracklets. The method further includes determining an amount of the new tracklets and an amount of updated persistent tracklets to be sampled dependent on the amount of estimated new tracklets, the amount of the persistent tracklets, and a memory bound; sampling the updated persistent tracklets from a list of the persistent tracklets dependent on the determined amount of the updated persistent tracklets; and sampling the new tracklets from unassociated measurements dependent on the determined amount of the new tracklets.

Disclosed autonomous mobile robot systems can be used to safely and efficiently navigate through a facility while avoiding objects in the path of the autonomous mobile robot during completion of a task. Specifically, a safety zone of a first size may be generated around an autonomous mobile robot based at least in part on first data from a first set of sensors associated with the autonomous mobile robot that are configured to identify an object within the safety zone. Information indicating a current speed of the autonomous mobile robot from associated propulsion components may be received and utilized to update the first size and a shape of the safety zone. Instructions to cease propulsion of the autonomous mobile robot may be transmitted to the propulsion components based on first data identifying the object within the updated first size of the safety zone.