A system for operating a vehicle based on a state of a rider includes an artificial intelligence system, a vehicle control system, and a feedback loop. The artificial intelligence system processes a sensory input from a wearable device in a vehicle to determine a state of a rider and optimizes an operating parameter of the vehicle to improve the state of the rider. The artificial intelligence system includes a neural net with a perceptron to mimic human senses to facilitate determining a state of a rider based on an extent to which at least one of the senses of the rider is stimulated. The vehicle control system adjusts vehicle operating parameters and the feedback loop indicates the change in the state of the rider, where the vehicle control system adjusts at least one of the plurality of vehicle operating parameters responsive to the indication of the change.

An apparatus for providing control signals to a remotely piloted unmanned aerial vehicle (UAV) which includes a pedal input mechanically connected to a base enclosure using a linkage system which allows for the angular movement of the pedal input. The apparatus further includes a potentiometer which provides a first control signal to a central controller indicating a detected angular position of the pedal. The central controller includes circuitry to translate the received first signal into a control signal which the central controller may transmit to one or more UAVs via a transceiver and antenna.

According to one embodiment, an electronic apparatus includes: a processor configured to: generate a control plan indicating an operation of at least a part of a control target apparatus during a predetermined duration; determine a first control plan associated with a portion of the control plan; generate a first control signal including the control plan and a second control signal including the first control plan; and command to transmit the first control signal by using a first wireless resource, and transmit the second control signal by using a second wireless resource different from the first wireless resource.

According to one embodiment, an electronic apparatus includes: a processor configured to: generate a control plan indicating an operation of at least a part of a control target apparatus during a predetermined duration; determine a first control plan associated with a portion of the control plan; generate a first control signal including the control plan and a second control signal including the first control plan; and command to transmit the first control signal by using a first wireless resource, and transmit the second control signal by using a second wireless resource different from the first wireless resource.

Data processing systems disclosed herein may promote satisfaction of a rider of a vehicle and include a machine learning model and a vehicle control system. The machine learning model determines a measure of an emotional state of the rider based on data received from a sensor associated with the rider, where the data is indicative of a physiological condition of the rider. The vehicle control system: determines a target value of an operating parameter of the vehicle based on a correlation between the emotional state of the rider and the target value of the operating parameter; and adjusts the operating parameter of the vehicle based on the target value of the operating parameter.

Data processing systems disclosed herein may promote satisfaction of a rider of a vehicle and include a machine learning model and a vehicle control system. The machine learning model determines a measure of an emotional state of the rider based on data received from a sensor associated with the rider, where the data is indicative of a physiological condition of the rider. The vehicle control system: determines a target value of an operating parameter of the vehicle based on a correlation between the emotional state of the rider and the target value of the operating parameter; and adjusts the operating parameter of the vehicle based on the target value of the operating parameter.

The disclosure relates to a battery driven flight vehicle. The battery-driven flight vehicle, comprising: a control unit; and a battery charged by a power supply device, wherein the control unit executes flight control in accordance with a charging speed of the battery. The disclosure also relates to a method of providing a Mobility as a Service (MaaS) in which the flight vehicle is used.

The disclosure relates to a battery driven flight vehicle. The battery-driven flight vehicle, comprising: a control unit; and a battery charged by a power supply device, wherein the control unit executes flight control in accordance with a charging speed of the battery. The disclosure also relates to a method of providing a Mobility as a Service (MaaS) in which the flight vehicle is used.

A point generating unit of a mobile terminal generates teaching point information associating a teaching position that teaches the work machine a position of the attachment in a series of movements to be performed by the work machine with orientation information indicating a target orientation at the teaching position, based on a slewing angle of an upper slewing body and on orientation information on the attachment. A point changing unit changes the generated teaching point information. When the teaching point information is changed, an instruction generating unit of the work machine generates an automatic operation instruction for automatically operating a slewing device and the attachment, based on the changed teaching point information. An operation control unit of the work machine automatically operates the slewing device and the attachment, based on the automatic operation instruction.

A point generating unit of a mobile terminal generates teaching point information associating a teaching position that teaches the work machine a position of the attachment in a series of movements to be performed by the work machine with orientation information indicating a target orientation at the teaching position, based on a slewing angle of an upper slewing body and on orientation information on the attachment. A point changing unit changes the generated teaching point information. When the teaching point information is changed, an instruction generating unit of the work machine generates an automatic operation instruction for automatically operating a slewing device and the attachment, based on the changed teaching point information. An operation control unit of the work machine automatically operates the slewing device and the attachment, based on the automatic operation instruction.