Autonomous vehicles are capable of executing missions that abide by on-street rules or regulations, while also being able to seamlessly transition to and from zones, including off-street zones, with their our set(s) of rules or regulations. An on-board memory stores roadgraph information. An on-board computer is operative to execute commanded driving missions using the roadgraph information, including missions with one or more zones, each zone being defined by a sub-roadgraph with its own set of zone-specific driving rules and parameters. A mission may be coordinated with one or more payload operations, including zone with free drive paths as in a warehouse facility with loading and unloading zones to pick up payloads and place them down, or zone staging or entry points to one or more points of payload acquisition or placement. The vehicle may be a warehousing vehicle such as a forklift.

Autonomous vehicles are capable of executing missions that abide by on-street rules or regulations, while also being able to seamlessly transition to and from zones, including off-street zones, with their our set(s) of rules or regulations. An on-board memory stores roadgraph information. An on-board computer is operative to execute commanded driving missions using the roadgraph information, including missions with one or more zones, each zone being defined by a sub-roadgraph with its own set of zone-specific driving rules and parameters. A mission may be coordinated with one or more payload operations, including zone with free drive paths as in a warehouse facility with loading and unloading zones to pick up payloads and place them down, or zone staging or entry points to one or more points of payload acquisition or placement. The vehicle may be a warehousing vehicle such as a forklift.

A processing unit includes a first communication interface that is designed for communication with a server device and/or a mobile device. The processing unit also has a second communication interface, which is designed for communication with the mobile device. The processing unit further has an internal communication interface of the processing unit, which is designed for communication with a vehicle bus network of the vehicle. The processing unit is designed to receive vehicle access data, which is representative of an access authorization of a driver to the vehicle via the second communication interface. The processing unit is also designed to determine depending on the vehicle access data a release signal for enabling a use of the vehicle and to provide it to the internal communication interface. The processing unit is also designed to receive vehicle analysis data via the internal communication interface.

The present disclosure relates to a moving robot, a moving robot system, and a method for moving to a charging system of the moving robot, wherein the moving robot moves to the charging system based on a reception result obtained by receiving a plurality of transmission signals transmitted from the charging station and a sensing result obtained by sensing a magnetic field state.

A lift system for an automated storage system of the type where storage containers are stacked in storage columns arranged in a grid, and where automated container handling vehicles retrieve and replace containers from a top level of the grid. The lift system has a platform vertically movable adjacent to a face of the grid, arranged for receiving and transporting one or more containers. A dedicated mechanical device is arranged for grabbing, lifting and moving the storage containers from a staging area at the top of the grid and placing containers on the platform and vice versa.

A travel control device is configured to make an autonomous driving vehicle travel in such a way that the autonomous driving vehicle arrives at a specified position specified by a user who intends to board the autonomous driving vehicle, when the autonomous driving vehicle has reached a predetermined range from the specified position, transmit an information sending request notifying the user terminal that the autonomous driving vehicle has reached a vicinity of the specified position and requesting sending of position identifying information for identifying a position at which the user intends to board the autonomous driving vehicle to the user terminal via a communication circuit, and when receiving the position identifying information via the communication circuit, change a position of the autonomous driving vehicle, based on the position identifying information in such a way that the autonomous driving vehicle comes close to the user.

A method of sensing a three-dimensional (3D) space using at least one sensor is proposed. The method can include acquiring spatial information over time for the sensed 3D space, applying a neural network based object classification model to the acquired spatial information over time to identify at least one object in the sensed 3D space. The method can also include tracking the sensed 3D space including the identified at least one object, and using information related to the tracked 3D space.

A method of sensing a three-dimensional (3D) space using at least one sensor is proposed. The method can include acquiring spatial information over time for the sensed 3D space, applying a neural network based object classification model to the acquired spatial information over time to identify at least one object in the sensed 3D space. The method can also include tracking the sensed 3D space including the identified at least one object, and using information related to the tracked 3D space.

A system for autonomous or semi-autonomous operation of a vehicle is disclosed. The system includes a machine automation portal (MAP) application configured to enable a computing device to (a) display a map of a work site and (b) provide a graphical user interface that enables a user to (i) define a boundary of an autonomous operating zone on the map and (ii) define a boundary of one or more exclusion zones. The system also includes a robotics processing unit configured to (a) receive the boundary of the autonomous operating zone and the boundary of each exclusion zone from the computing device, (b) generate a planned command path that the vehicle will travel to perform a task within the autonomous operating zone while avoiding each exclusion zone, and (c) control operation of the vehicle so that the vehicle travels the planned command path to perform the task.

The invention discloses a cleaning partition planning method for robot walking along the boundary, a chip and a robot. According to the cleaning partition planning method, a complete global map does not needed to be prestored in advance, but an initial room cleaning partition of the robot is divided in real time in a predefined cleaning area according to map image pixel information obtained by laser scanning in the process of walking along the boundary, meanwhile, the initial room cleaning partition of the robot is expanded by repeated iterative processing of the wall boundary of an uncleaned area in the same predefined cleaning area.