A system for improving a state of a rider in a vehicle includes at least one Internet-of-Things (IoT) device and an artificial intelligence system. The at least one IoT device in disposed in the environment of the vehicle, the at least one IoT device to sense and output data based on at least one of: a state of the rider, a state of the vehicle environment, or a state of the vehicle. The artificial intelligence system for processing the data output by the at least one IoT device to determine a determined state of the vehicle and to improve the at least one operating parameter of the vehicle to improve the state of the rider based on the determined state of the vehicle.

A system for improving a state of a rider in a vehicle includes at least one Internet-of-Things (IoT) device and an artificial intelligence system. The at least one IoT device in disposed in the environment of the vehicle, the at least one IoT device to sense and output data based on at least one of: a state of the rider, a state of the vehicle environment, or a state of the vehicle. The artificial intelligence system for processing the data output by the at least one IoT device to determine a determined state of the vehicle and to improve the at least one operating parameter of the vehicle to improve the state of the rider based on the determined state of the vehicle.

A method of operating a vehicle in a transportation system includes: receiving data collected for each of a set of users based on interactions of the set of users with a user interface of the vehicle including at least one of a vehicle data system, a vision system, and a connected system; performing robotic process automation on the interactions; learning changes in driving style using an artificial intelligence system based on the robotic process automation; and undertaking an action within the vehicle on behalf of the user based on the learned changes in driving style.

A method of operating a vehicle in a transportation system includes: receiving data collected for each of a set of users based on interactions of the set of users with a user interface of the vehicle including at least one of a vehicle data system, a vision system, and a connected system; performing robotic process automation on the interactions; learning changes in driving style using an artificial intelligence system based on the robotic process automation; and undertaking an action within the vehicle on behalf of the user based on the learned changes in driving style.

A system may include an artificial intelligence system for processing data output by at least one Internet-of-Things device associated with the vehicle, wherein the at least one Internet-of-Things device is configured to sense and output data based on at least one of: a state of the rider, a state of the vehicle environment, or a state of the vehicle, and wherein the artificial intelligence system is configured to determine a determined state of the vehicle and to adjust the at least one operating parameter of the vehicle to improve the state of the rider based on the determined state of the vehicle.

A system may include an artificial intelligence system for processing data output by at least one Internet-of-Things device associated with the vehicle, wherein the at least one Internet-of-Things device is configured to sense and output data based on at least one of: a state of the rider, a state of the vehicle environment, or a state of the vehicle, and wherein the artificial intelligence system is configured to determine a determined state of the vehicle and to adjust the at least one operating parameter of the vehicle to improve the state of the rider based on the determined state of the vehicle.

A display control device includes an acquisition unit for acquiring a communication state of each of a plurality of communication devices, and a control unit for displaying the communication state of each of the plurality of communication devices in association with each communication device.

A delivery robot includes a propulsion system, a storage area arranged to contain at least one item for delivery, a wireless interface, a memory device, and a processor. The processor is configured to receive, from a robot management system (RMS) and via the wireless interface, a delivery request, wherein the delivery request identifies at least the item contained within the storage area, a delivery location, and a recipient. The processor is also configured to control the propulsion system to navigate the delivery robot to the delivery location in response to receiving the delivery request, receive an authentication credential from the recipient, authenticate the recipient based upon the authentication credential, and in response to authenticating the recipient, control the storage area to provide the at least one item contained within the storage area to the recipient.

Methods and associated systems and apparatus for generating a three-dimensional (3D) flight path for a moveable platform such as an unmanned aerial vehicle (UAV) are disclosed herein. The method includes receiving a set of 3D information associated with a virtual reality environment and receiving a plurality of virtual locations in the virtual reality environment. For individual virtual locations, the system receives a corresponding action item. The system then generates a 3D path based on at least one of the set of 3D information, the plurality of virtual locations, and the plurality of action items. The system then generates a set of images associated with the 3D path and then visually presents the same to an operator via a virtual reality device. The system enables the operator to adjust the 3D path via the virtual reality device.

This document describes a simulation system that simulates robots and other actors performing tasks in an area. In one aspect, a method includes obtaining a graph representing a physical area. The graph includes area nodes that represent regions of the area that are traversed by a set of actors that perform tasks in the area and terminal nodes that represent regions of the facility where the actors perform the tasks. A set of agents that each include a model corresponding to an actor is identified. At least a portion of the agents includes models for robots that perform tasks in the area. The model of an agent represents durations of time for traversing area nodes and performing tasks are terminal nodes during simulations. A sequence of tasks being performed in the area is simulated using the graph and the set of agents.