Abstract: Various embodiments include methods and vehicles, such as an autonomous vehicle, a semi-autonomous vehicle, etc., for collaboratively directing or configuring one or more headlights of a vehicle to avoid visually interfering with operation of an oncoming vehicle. Various embodiments may include receiving, by a first vehicle processor, a first collaborative lighting message from a second vehicle, wherein the first collaborative lighting message requests that the first vehicle direct one or more headlights of the first vehicle to avoid visual interference with operation of the second vehicle and directing one or more the headlights of the first vehicle in accordance with the collaborative lighting plan. Directing the headlights to avoid visual interference with operation of the second vehicle may include switching the headlights to a low-beam configuration.

Abstract: Methods, devices and systems enable controlling an autonomous vehicle by identifying a vehicle that is within a threshold distance of the autonomous vehicle, determining an autonomous capability metric (ACM) the identified vehicle, determining whether the ACM of the identified vehicle is greater than a first threshold, determining whether the ACM of the identified vehicle is less than a second threshold, and adjusting a driving parameter of the autonomous vehicle so that the autonomous vehicle is more or less reliant on the capabilities of the identified vehicle based on whether the ACM of the identified vehicle exceeds the thresholds.

Abstract: Various aspects may include methods enabling a vehicle to broadcast intentions and/or motion plans to surrounding vehicles. Various aspects include methods for using intentions and/or motion plans received from one or more surrounding vehicles.

Abstract: In some aspects, a device of a vehicle may obtain information relating to an environment in which the vehicle is located. The device may determine using a machine learning model, a driving context of the vehicle based at least in part on the information relating to the environment, and a set of hyperparameters for a model, that is used to determine a driving behavior for the vehicle, based at least in part on the driving context. The device may determine, using the model configured with the set of hyperparameters, the driving behavior for the vehicle. The device may cause autonomous operation of the vehicle in accordance with the driving behavior. Numerous other aspects are described.

Abstract: Methods, systems, and devices for automatically customizing operation of a robotic vehicle are described. The method may include identifying an operator, retrieving an operator profile and associated metadata for the operator from a database, where the metadata includes operator habit information, and configuring the robotic vehicle based on existing preference-based and performance-based settings, where the existing preference-based and performance-based settings are based on the metadata. The methods may include identifying operator habit information during operation of the robotic vehicle, deriving updated preference-based and performance-based settings for the operator based on the identified operator habit information, and providing, to the database, modifications to the metadata associated with the operator profile of the operator.

Abstract: Methods, devices and systems enable controlling an autonomous vehicle by identifying a vehicle that is within a threshold distance of the autonomous vehicle, determining an autonomous capability metric (ACM) the identified vehicle, determining whether the ACM of the identified vehicle is greater than a first threshold, determining whether the ACM of the identified vehicle is less than a second threshold, and adjusting a driving parameter of the autonomous vehicle so that the autonomous vehicle is more or less reliant on the capabilities of the identified vehicle based on whether the ACM of the identified vehicle exceeds the thresholds.

Abstract: Various embodiments include methods and interactive traffic control devices for interactively controlling traffic, which may include receiving refined location and state information associated with individual vehicles on a roadway, and determining customized dynamic traffic control instructions for a first one or more of the individual vehicles. The determined customized dynamic traffic control instructions may be based on the received refined location and state information and offer an optional route alternative to a set limited number of the individual vehicles. The first customized dynamic traffic control instructions may be transmitted by the interactive traffic control device to the first one or more of the individual vehicles.

Abstract: Methods, devices and systems enable controlling an autonomous vehicle by identifying vehicles that are within a threshold distance of the autonomous vehicle, determining an autonomous capability metric of each of the identified vehicles, and adjusting a driving parameter of the autonomous vehicle based on the determined autonomous capability metric of each of the identified vehicles. Adjusting a driving parameter may include adjusting one or more of a minimum separation distance, a minimum following distance, a speed parameter, or an acceleration rate parameter.

Abstract: Various embodiments include methods and vehicles, such as an autonomous vehicle, a semi-autonomous vehicle, etc., for collaboratively directing one or more headlights among vehicles traveling in a platoon. Various aspects may include transmitting, by a first vehicle processor of a first vehicle traveling in the platoon, a collaborative lighting plan to a second vehicle traveling in the platoon, wherein the collaborative lighting plan may direct the second vehicle to direct one or more headlights of the second vehicle in a direction other than a direction of travel of the platoon. The first vehicle processor may then direct one or more the headlights of the first vehicle in accordance with the collaborative lighting plan.

Abstract: Methods, devices and systems enable controlling an autonomous vehicle by identifying vehicles that are within a threshold distance of the autonomous vehicle, determining an autonomous capability metric of each of the identified vehicles, and adjusting a driving parameter of the autonomous vehicle based on the determined autonomous capability metric of each of the identified vehicles. Embodiments may further include determining, based on the determined ACMs, whether one or more identified vehicles would provide an operational advantage to the autonomous vehicle in a cooperative driving engagement, and initiating a cooperative driving engagement with the one or more identified vehicles in response to determining that the one or more identified vehicles would provide an operational advantage to the autonomous vehicle in a cooperative driving engagement.

Abstract: Various embodiments include methods and vehicles, such as an autonomous vehicle, a semi-autonomous vehicle, etc., for collaboratively directing one or more headlights by two or more vehicles. Various aspects may include receiving, by a first vehicle processor, a first vehicle collaborative lighting message from a second vehicle, in which the first vehicle collaborative lighting message requests that the first vehicle direct one or more headlights of the first vehicle to illuminate a target area of uncertainty that is disposed, relative to the first vehicle, in a direction other than a direction of travel of the first vehicle. The first vehicle processor may direct one or more the headlights of the first vehicle to illuminate the target area in accordance with the first vehicle collaborative lighting message.

Abstract: Various embodiments include methods and vehicles, such as an autonomous vehicle, a semi-autonomous vehicle, etc., for collaboratively directing one or more headlights by two or more vehicles. Various aspects may include receiving, by a first vehicle processor, a first collaborative lighting message from a second vehicle, in which the first collaborative lighting message may request the first vehicle direct one or more headlights of the first vehicle, in collaboration with the second vehicle directing one or more headlights of the second vehicle according to a collaborative lighting plan, and directing, by the first vehicle processor, one or more of the headlights of the first vehicle in accordance with the collaborative lighting plan.

Abstract: Various embodiments include devices and methods for controlling a robotic vehicle. Each electronic speed controller (ESC) of the robotic vehicle may receive open loop flight control information from a flight controller or another processing device of the robotic vehicle. In some embodiments, each ESC may store the provided open loop flight control information in a memory. In response to detecting a loss of control signals from the flight controller, each ESC may access the stored open loop flight control information and perform control of a motor associated with each ESC based on the open loop flight control information. The open loop flight control information may be a sequence of motor control instructions to be performed over a period of time, or parameterized information or vehicle state information that enables each ESC to generate a sequence of motor control instructions.

Abstract: Various embodiments include methods and vehicles, such as an autonomous vehicle, a semi-autonomous vehicle, etc., for collaboratively directing or configuring one or more headlights of a vehicle to avoid visually interfering with operation of an oncoming vehicle. Various embodiments may include receiving, by a first vehicle processor, a first collaborative lighting message from a second vehicle, wherein the first collaborative lighting message requests that the first vehicle direct one or more headlights of the first vehicle to avoid visual interference with operation of the second vehicle and directing one or more the headlights of the first vehicle in accordance with the collaborative lighting plan. Directing the headlights to avoid visual interference with operation of the second vehicle may include switching the headlights to a low-beam configuration.

Abstract: Various embodiments include methods and vehicles, such as an autonomous vehicle, a semi-autonomous vehicle, etc., for collaboratively directing one or more headlights among vehicles traveling in a platoon. Various aspects may include transmitting, by a first vehicle processor of a first vehicle traveling in the platoon, a collaborative lighting plan to a second vehicle traveling in the platoon, wherein the collaborative lighting plan may direct the second vehicle to direct one or more headlights of the second vehicle in a direction other than a direction of travel of the platoon. The first vehicle processor may then direct one or more the headlights of the first vehicle in accordance with the collaborative lighting plan.

Abstract: Various embodiments include methods and vehicles, such as an autonomous vehicle, a semi-autonomous vehicle, etc., for collaboratively directing one or more headlights by two or more vehicles. Various aspects may include receiving, by a first vehicle processor, a first vehicle collaborative lighting message from a second vehicle, in which the first vehicle collaborative lighting message requests that the first vehicle direct one or more headlights of the first vehicle to illuminate a target area of uncertainty that is disposed, relative to the first vehicle, in a direction other than a direction of travel of the first vehicle. The first vehicle processor may direct one or more the headlights of the first vehicle to illuminate the target area in accordance with the first vehicle collaborative lighting message.

Abstract: Various embodiments include methods and vehicles, such as an autonomous vehicle, a semi-autonomous vehicle, etc., for collaboratively directing one or more headlights by two or more vehicles. Various aspects may include receiving, by a first vehicle processor, a first collaborative lighting message from a second vehicle, in which the first collaborative lighting message may request the first vehicle direct one or more headlights of the first vehicle, in collaboration with the second vehicle directing one or more headlights of the second vehicle according to a collaborative lighting plan, and directing, by the first vehicle processor, one or more of the headlights of the first vehicle in accordance with the collaborative lighting plan.

Abstract: Methods, systems, and devices for robotic navigation are described. A robotic device such as a robotic vacuum or a robotic assistant may navigate a first surface. In some cases, navigating the first surface may include removing debris from the first surface. The robotic device may identify a location of a track that connects the first surface to a second surface that is vertically displaced from the first surface. The robotic device may engage the track based at least in part on the identified location. The robotic device may ascend to the second surface by activating an actuator and navigate the second surface (e.g., may remove debris from the second surface, may map the second surface, etc.).

Abstract: Methods, systems, and devices for automatically customizing operation of a robotic vehicle are described. The method may include identifying an operator, retrieving an operator profile and associated metadata for the operator from a database, where the metadata includes operator habit information, and configuring the robotic vehicle based on existing preference-based and performance-based settings, where the existing preference-based and performance-based settings are based on the metadata. The methods may include identifying operator habit information during operation of the robotic vehicle, deriving updated preference-based and performance-based settings for the operator based on the identified operator habit information, and providing, to the database, modifications to the metadata associated with the operator profile of the operator.

Abstract: Some embodiments include methods for customizing operation of the robotic vehicle for an operator. Such embodiments may include identifying a current operator of the robotic vehicle, configuring the robotic vehicle based on metadata associated with an operator profile for the operator, determining whether the operator has changed, and if so, identifying the new operator, deriving updated preference-based settings and performance-based settings for the new operator, and updating configurations of the robotic vehicle accordingly.