A remote control device for an unmanned helicopter includes an orientation sensor that detects a flight orientation of the unmanned helicopter, a GPS antenna and a GPS receiver that detect speed information of the unmanned helicopter, and a CPU that detects a flight distance of the unmanned helicopter by integrating the speed information. A memory stores information concerning a base point of the unmanned helicopter. Based on a flight orientation of the unmanned helicopter and a flight distance of the unmanned helicopter, which is obtained by integration of the speed information, the CPU determines a relative position, which indicates a position of the unmanned helicopter with respect to the base point, and controls the flight of unmanned helicopter based on the relative position.

A drone includes a light emitter that emits light and circuitry which, in operation, obtains flight state information regarding a flight state of the drone, determines, on the basis of the flight state information, a direction in which the light emitter is to emit light, and controls the light emitter such that the light emitter emits light in the determined direction.

A method for operating an autonomous vehicle. The method includes the transmission of status data to a processing unit, which is independent of the autonomous vehicle, using a wireless communications link. The method furthermore includes monitoring of the function of the autonomous vehicle by the independent processing unit while taking the status data into account, and when a malfunction of the autonomous vehicle is detected, the independent processing unit determines target data for guiding the autonomous vehicle to a stopping position. The target data are transmitted to the autonomous vehicle, and the autonomous vehicle is guided to the stopping position with the aid of the target data. A position of the autonomous vehicle is determined using signals from the wireless communications link and is taken into account when determining the target data.

A robot control method includes receiving, from a robot located in a space, location information of the robot; specifying, based on the received location information, at least one external camera from among a plurality of external cameras located in the space, the at least one external camera being located at a first location in the space, the first location corresponding to the received location information; receiving a robot image and at least one a space image, the robot image being an image obtained by a robot camera included in the robot and the at least one space image including at least one image obtained by the specified at least one external camera; and outputting the received robot image and at least one space image to a display unit.

A first pattern associated with a performer may be recognized based upon visual information. A sensor carried by an unmanned aerial vehicle may be configured to generate output signals conveying the visual information. A first distance may be determined between the first pattern and the unmanned aerial vehicle. A second pattern associated with a performee may be recognized based upon the visual information. A second distance may be determined between the second pattern and the unmanned aerial vehicle. Flight control may be adjusted based upon the first distance and the second distance. A flight control subsystem may be configured to provide the flight control for the unmanned aerial vehicle.

An industrial vehicle remote control system includes a forklift that has a vehicle communication unit and a remote control device that has a remote communication unit and is used to remotely control the forklift. A vehicle wireless CPU of the industrial vehicle remote control system acquires the received radio wave intensity of a remote control signal by which the two communication units wirelessly communicate, and, on the basis of the results thereof, determines whether the forklift is positioned in a permission range or in a prohibition range.

A drone includes a light emitter that emits light and circuitry which, in operation, obtains flight state information regarding a flight state of the drone, determines, on the basis of the flight state information, a direction in which the light emitter is to emit light, and controls the light emitter such that the light emitter emits light in the determined direction.

Provided herein is an autonomous or semi-autonomous vehicle fleet comprising a plurality of autonomous or semi-autonomous vehicles coordinated by a fleet management module. Each vehicle may be configured to receive a modular unit, wherein the modular unit is configured to secure a consumer product.

Example systems and methods enable an autonomous vehicle to request assistance from a remote operator in certain predetermined situations. One example method includes determining a representation of an environment of an autonomous vehicle based on sensor data of the environment. Based on the representation, the method may also include identifying a situation from a predetermined set of situations for which the autonomous vehicle will request remote assistance. The method may further include sending a request for assistance to a remote assistor, the request including the representation of the environment and the identified situation. The method may additionally include receiving a response from the remote assistor indicating an autonomous operation. The method may also include causing the autonomous vehicle to perform the autonomous operation.

A geodetic measuring system having a geodetic measuring unit having a beam source for emitting a substantially collimated optical beam. The measuring system also has an automotive, unmanned, controllable air vehicle having an optical module. An evaluation unit is also provided, wherein the evaluation unit is configured in such a manner that an actual state of the air vehicle, as determined by a position, an orientation and/or a change in position, can be determined in a coordinate system from interaction between the optical beam and the optical module. The measuring system has a control unit for controlling the air vehicle, wherein the control unit is configured in such a manner that control data can be produced using an algorithm on the basis of the actual state, which can be continuously determined in particular, and a defined desired state, and the air vehicle can be automatically changed to the desired state.