A conveyance system (1) according to the present disclosure includes: a conveyance vehicle (10) that conveys an object based on a first traveling path; a sensor (20) that transmits information regarding a position of the conveyance vehicle (10) via a network; a communication unit (32) that can communicate with the conveyance vehicle (10) and the sensor (20); and a control unit (31) that controls the conveyance vehicle (10) via the communication unit (32). The control unit (31) determines a second traveling path based on the information regarding the position of the conveyance vehicle (10) and corrects a traveling trajectory of the conveyance vehicle (10) based on the first traveling path and the second traveling path.

Systems and methods for dynamic control of remotely operated vehicles may include various types of sensors to detect environment, surface, and/or friction conditions proximate a vehicle. Based on the detected environment, surface, and/or friction conditions, a maximum acceleration for safe operation of the vehicle may be determined. In addition, various dynamic control limits or ranges for the vehicle may be determined based on the maximum acceleration, and the vehicle may be controlled or instructed to operate within such dynamic limits. Moreover, various notifications, alerts, and/or feedback may be presented or output for the teleoperator at the teleoperator station in order to increase environment awareness and promote safe driving behaviors.

Methods and apparatus for implementing a safety system for a mobile robot are described. The method comprises receiving first sensor data from one or more sensors, the first sensor data being captured at a first time, identifying, based on the first sensor data, a first unobserved portion of a safety field in an environment of a mobile robot, assigning, to each of a plurality of contiguous regions within the first unobserved portion of the safety field, an occupancy state, updating, at a second time after the first time, the occupancy state of one or more of the plurality of contiguous regions, and determining one or more operating parameters for the mobile robot, the one or more operating parameters based, at least in part, on the occupancy state of at least some regions of the plurality of contiguous regions at the second time.

A multi-machine cooperation method, a scheduling device, and a multi-machine cooperation system are described. The multi-machine cooperation method includes: determining, by a first autonomous robot when detecting an abnormal condition during operation, whether the abnormal condition can be independently processed; and when the abnormal condition cannot be independently processed, sending, by the first autonomous robot, an assistance request to another device in an Internet of Things in which the first autonomous robot is located. In the specification, a multi-machine cooperation operation between autonomous robots or between an autonomous robot and another device can be implemented.

Disclosed are a platooning control apparatus and control method, the apparatus including a communication unit obtaining performance information and sensing information of a controller for platooning and a control unit granting at least vehicle among plurality of vehicles platooning control authority based on the performance information and in response to determination that a vehicle in which the control unit is provided is the vehicle to be granted platooning control authority, generating a driving route on the sensing information and controlling the platooning based on the driving route.

A control method includes the following. First information indicating a group control level is determined based on operation skills of operators who each perform remote monitoring or remote operation on a moving body. Second information indicating an attribute-dependent control level is determined based on attribute information on the operators. Third information indicating individual control levels of the operators is determined based on the first and second information. Moving bodies present within a predetermined range from a predetermined notification device are identified. Fourth information indicating a device control level is determined based on the third information determined for operators of the moving bodies identified. A detail of notification to be output from the predetermined notification device is determined based on the fourth information. A control command for notifying of the detail is output.

A self-propelled floor processing device includes a base body, a driving device, and an obstacle detection device for detecting a collision between the floor processing device and an obstacle, wherein the obstacle detection device has a bumper arranged in a protruding position on the base body, as well as at least one impact sensor allocated to the bumper. The impact sensor is configured to detect a displacement of the bumper relative to the base body. In order to create an obstacle detection device that functions optimally independently of a position and direction of a force acting from outside, the bumper is mounted to the base body via at least one swivel joint.

Systems and methods to account for latency associated with remote driving applications may include a vehicle having an imaging device and a teleoperator station in communication with each other via a network. Imaging data that is captured by the imaging device may be transmitted to the teleoperator station for presentation to a teleoperator. In order to account for latency in the transmission, receipt, processing, and presentation of the imaging data, one or more visualizations of the vehicle, with various visual characteristics, may be rendered within or overlaid onto the imaging data, in order to facilitate safe and reliable remote operation of the vehicle by the teleoperator at the teleoperator station.

An apparatus for localizing a robot having robustness to a dynamic environment includes a map building unit which builds a map based on SLAM; a localizing unit which acquires first feature from sensor data acquired by a sensor mounted in a robot and localizes the robot using the first feature acquired from the sensor data based on the map built by the map building unit; and a map updating unit which reduces an error caused by the movement of the robot by correcting the first feature using an estimated position of the robot with regard to a feature obtained from a static object, among the first features acquired by the localizing unit.

An object of the present disclosure is to provide a work plan creation apparatus capable of making an autonomous moving body perform a work without delay when the work needs to be adjusted and a work plan creation method. A work plan creation apparatus according to the present disclosure includes: an action planning unit previously creating a work plan in which a work to be performed by at least one autonomous moving body is allocated in a predetermined period; a plan change determination unit evaluating a degree of priority of a new work, which is a work newly occurring, upon receiving the new work, and determining whether or not to change the work plan in accordance with the degree of priority while the autonomous moving body performs the work plan; and a plan change unit changing the work plan while the autonomous moving body performs the work plan.