A system for transportation includes a vehicle interface for gathering physiological sensed data of a rider in the vehicle. The system includes an artificial intelligence-based circuit that is trained on a set of outcomes related to rider in-vehicle experience and that induces, responsive to the sensed rider physiological data, variation in one or more of the user experience parameters to achieve at least one desired outcome in the set of outcomes. The inducing variation includes control of timing and extent of the variation.

A system for transportation includes a vehicle interface for gathering physiological sensed data of a rider in the vehicle. The system includes an artificial intelligence-based circuit that is trained on a set of outcomes related to rider in-vehicle experience and that induces, responsive to the sensed rider physiological data, variation in one or more of the user experience parameters to achieve at least one desired outcome in the set of outcomes. The inducing variation includes control of timing and extent of the variation.

A optimal path planning device for drones, comprises: a first graph generation module configured to generate a first graph by setting a plurality of nodes in a predetermined area based on obstacle information and industrial structure information for the predetermined area, and by setting edges that connect each of the nodes; a second graph generation module configured to generate a second graph related to selected inspection object edges among a plurality of edges, a third graph generation module configured to generate a third graph with an Eulerian path based on the generated second graph, and a final path determination module configured to determine an optimal path of the drone based on the total cost of the generated third graph.

A method for controlling a motion of a multi-jointed bionic dolphin relates to a technical field of damage detection using a bionic robot. The method comprises: constructing a three-dimensional model and a three-dimensional model in computational domain of the multi-jointed bionic dolphin, and performing pre-processing; importing the model file after the pre-processing into analysis software for computational fluid dynamics for the hydrodynamic simulation to obtain a thrust-time curve and a hydrodynamic curve under a specified underwater working condition, then finding a difference, and fitting to obtain velocity-resistance fitting curves; performing a kinetic analysis, and deducing a kinetic model; completing kinetic coupling to obtain kinetic parameters according to the kinetic model, the thrust-time curve, and the velocity-resistance fitting curves; and controlling output torques by a pulse width modulation (PWM) technique.

A method for controlling a motion of a multi-jointed bionic dolphin relates to a technical field of damage detection using a bionic robot. The method comprises: constructing a three-dimensional model and a three-dimensional model in computational domain of the multi-jointed bionic dolphin, and performing pre-processing; importing the model file after the pre-processing into analysis software for computational fluid dynamics for the hydrodynamic simulation to obtain a thrust-time curve and a hydrodynamic curve under a specified underwater working condition, then finding a difference, and fitting to obtain velocity-resistance fitting curves; performing a kinetic analysis, and deducing a kinetic model; completing kinetic coupling to obtain kinetic parameters according to the kinetic model, the thrust-time curve, and the velocity-resistance fitting curves; and controlling output torques by a pulse width modulation (PWM) technique.

An apparatus, system and method of operating an autonomous mobile robot having a height of at least one meter. The robot body; at least two three-dimensional depth camera sensors affixed to the robot body proximate to the height, wherein the sensors are directed toward a floor surface and, in combination, comprise a substantially 360 degree field of view of the floor surface around the robot body; and a processing system for receiving pixel data within the field of view of the sensors; obtaining missing or erroneous pixels from the pixel data; comparing the missing or erroneous pixels to a template, wherein the template comprises at least an indication of ones of the missing or erroneous pixels indicative of the robot body and a shadow of the robot body; and outputting an indication of obstacles in or near the field of view based on the comparing.

An apparatus, system and method of operating an autonomous mobile robot having a height of at least one meter. The robot body; at least two three-dimensional depth camera sensors affixed to the robot body proximate to the height, wherein the sensors are directed toward a floor surface and, in combination, comprise a substantially 360 degree field of view of the floor surface around the robot body; and a processing system for receiving pixel data within the field of view of the sensors; obtaining missing or erroneous pixels from the pixel data; comparing the missing or erroneous pixels to a template, wherein the template comprises at least an indication of ones of the missing or erroneous pixels indicative of the robot body and a shadow of the robot body; and outputting an indication of obstacles in or near the field of view based on the comparing.

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 system and method for a digital co-pilot are provided. The method includes receiving a plurality of inputs from a vehicle operating systems, wherein the plurality of inputs comprise engine parameters, control system parameters, or electrical system parameters, identifying one or more first trends in the plurality of inputs, diagnosing one or more first potential conditions based on the first trends, determining a first course of action based on diagnosing the one or more potential conditions, and generating one or more first commands to vehicle controls based on determining the first course of action.