Provided is a first robot including: a machine readable medium storing instructions that when executed by the processor of the first robot effectuates operations including: executing, with the processor of the first robot, a task; and transmitting, with the processor of the first robot, a signal to a processor of a second robot during execution of the task when its power supply level reduces below a predetermined threshold; and the second robot including: a machine readable medium storing instructions that when executed by the processor of the second robot effectuates operations including: executing, with the processor of the second robot, the remainder of the task upon receiving the signal transmitted from the processor of the first robot; and wherein the first robot navigates to a charging station when its power supply level reduces below the predetermined threshold and wherein the first robot and second robot provide the same services.

A system and method of controlling operation of a host device in real-time, the host device operatively connected to an optical device and a radar device. The optical device is configured to obtain visual data of at least one object. The object is located at an incline, relative to the host device, the incline being characterized by an elevation angle () and an azimuth angle (). The radar device is configured to obtain radar data, including a radial distance (r) of the object from the host device, the azimuth angle (), and a range rate (dr/dt). The controller is programmed to determine a time-to-contact for the host device and the object based at least partially on a 3-D position and 3-D velocity vector. The operation of the host device is controlled based at least partially on the time-to-contact.

System and techniques for context derived driver assistance are described herein. An identity of a vehicle operator of a vehicle may be determined. An operating context of the vehicle may be determined. A notification concerning the operating context may be adaptively adjusted based on the identity of the vehicle operator.

A vehicle is provided that determines a need for communication with a third party vendor, retrieves a user rule from the memory (the user rule defines to which third party vendor the vehicle can send a first communication to address the need and defines a geographic location of the third party vendor relative to a current location of the vehicle, a monetary amount the vehicle can pay to a third party vendor for a product or service to address the need, and a time limit for the third party vendor to provide the product or service to address the need), based on the user rule, selects a third party vendor from among multiple possible third party vendors, and when determined by the user rule, automatically sends the first communication to the selected third party vendor to address the need. The first communication is associated with an order for the product or service, and the processor provides an authorization to the selected third party vendor to complete the order. The vehicle uses different antennas positioned at different physical locations on an exterior of the vehicle to provide the first communication and authorization to the selected third party vendor.

A vehicle includes an on board microprocessor that is programmed to receive and transmit multiple authentication factors or a key derived therefrom to a remote server to authenticate the vehicle or a vehicle occupant to a remote server. The multiple authentication factors comprise a plurality of an electronic address of a portable communication device of the occupant sensed by an on board sensor, a wireless remote signal description sensed by an on board sensor, a vehicle-related identifier, a vehicle parameter sensed by the on board processor, an environmental parameter sensed by the on board processor, and a passcode received by the microprocessor from the remote server.

Methods, devices, and systems of a sensor surface object detection system are provided. Output from sensors of a vehicle may be used to describe an environment around the vehicle. In the event that a sensor is obstructed by dirt, debris, or detritus the sensor may not sufficiently describe the environment for autonomous control operations. The sensor surface object detection system may receive output from the sensors of the vehicle to determine whether any of the sensors are obstructed. The determination may be made by comparing the output of one sensor to another, determining whether the output of a sensor is within a predetermined threshold, or comparing characteristics of multiple sensor outputs to one another. When a sensor is determined to be obstructed, the system may send a command to a cleaning system to automatically remove the obstruction.

Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

Embodiments can provide an intelligent vehicle that determines that the vehicle interior comprises multiple occupants; identifies the occupants; based on the driving behavior of the vehicle, creates a composite occupant profile associated with the group of plural occupants, the composite occupant profile comprising the identities of the plural occupants and group preferences for various vendor products or services; and, based on the composite occupant profile and received inputs from a user interface, an automatic vehicle location system, and a plurality of sensors in the vehicle, performs one or more actions, such as: (a) proposing one or more vendor products or services for the group of occupants; (b) publishing the vendor products or services selected by the group of occupants, via a social network, to associated or selected associates of the occupants in the group; and (c) presenting advertisement information from a vendor server associated with the proposed or selected vendor products or services to one or more of the occupants in the group.

Embodiments herein relate to an autonomous vehicle or self-driving vehicle. The system can determine a collision avoidance path by: 1) predicting the behavior/trajectory of other moving objects (and identifying stationary objects); 2) given the driving trajectory (issued by autonomous driving system) or predicted driving trajectory (human), establishing the probability for a collision that can be calculated between the vehicle and one or more objects; and 3) finding a path to minimize the collision probability.

Embodiments herein relate to an autonomous vehicle or self-driving vehicle with a vehicle control system. The vehicle control system can determine, prior to and/or during a collision, whether an escape path exits. If an escape path exists, the brakes are disengaged such that at least some of the energy and/or momentum from a colliding vehicle is transferred and a jolt or shock experienced by an occupant is reduced.