Abstract: Compostable seaweed-based compositions, and associated systems and methods are disclosed herein. In some embodiments, the seaweed-based composition comprises (i) a phycocolloid including agar, alginate, carrageenan, and/or unprocessed seaweed, (ii) a polymer comprising thermoplastic starch (TPS), polycaprolactone (PCL), polylactic acid (PLA), polyhydroxyalkanoates (PHA), polyesteramide (PEA), polybutylene adipate terephthalate (PBAT), polybutylene succinate (PBS), and/or polyvinyl alcohol (PVOH), and (iii) an additive, wherein the phycocolloid comprises no more than 90 wt % of the seaweed-based composition, the biopolymer comprises no more than 80 wt % of the seaweed-based composition, and the additive comprises no more than 50 wt % of the seaweed-based composition.

Abstract: According to some aspects, techniques are provided for building and deploying a machine learning application that do not require a user to have expert knowledge of machine learning or programming. These techniques may be executed by a system that provides a graphical user interface which allows a user to visually define a workflow for a machine learning application, without requiring the user to be an expert in machine learning. The system may automatically represent the workflow as a specification that may be used to build and deploy a machine learning application. The system may automatically execute the workflow in a series of stages while managing data flow and execution context between the stages. Such an execution process may provide flexibility in execution so that a user can build a complex machine learning application without it being necessary for the user to have detailed knowledge of how execution is managed.

Abstract: A vehicle of the present disclosure may include at least one pair of opposing wheels coupled to a tiltable central chassis by a four-bar linkage or the like, such that the wheels are configured to tilt in unison with the central chassis. A steering actuator and/or a tilting actuator may be discretely controllable by an electronic controller of the vehicle. The controller may include processing logic configured to maintain alignment between a median plane of the chassis and a net force vector caused by gravity and any induced centrifugal forces. Various control algorithms may be utilized to steer the vehicle along a desired path, either autonomously or semi-autonomously.

Abstract: A tiltable vehicle has a pair of front wheels coupled to a tiltable chassis by a tilt linkage, such that the pair of front wheels and the chassis are configured to tilt in unison with respect to a roll axis of the chassis. The tilt linkage includes a four-bar linkage having a pair of upper bar segments coupled to the chassis at spaced-apart respective inboard joints. In some examples, the inboard joints of the upper bar segments are each disposed outboard of a central chassis joint of a lower bar of the tilt linkage. An orientation sensor is configured to detect directional information regarding a net force vector applied to the chassis, and a tilt actuator operatively coupled to the chassis and configured to selectively tilt the chassis. A controller is configured to selectively control the tilt actuator based on the directional information from the orientation sensor.

Abstract: According to some aspects, techniques are provided for building and deploying a machine learning application that do not require a user to have expert knowledge of machine learning or programming. These techniques may be executed by a system that provides a graphical user interface which allows a user to visually define a workflow for a machine learning application, without requiring the user to be an expert in machine learning. The system may automatically represent the workflow as a specification that may be used to build and deploy a machine learning application. The system may automatically execute the workflow in a series of stages while managing data flow and execution context between the stages. Such an execution process may provide flexibility in execution so that a user can build a complex machine learning application without it being necessary for the user to have detailed knowledge of how execution is managed.

Abstract: An autonomous tilting three-wheeled vehicle comprises a pair of front wheels coupled to a tiltable chassis by a mechanical linkage, such that the pair of wheels and the chassis are configured to tilt in unison with respect to a roll axis of the chassis. An electronic controller of the autonomous vehicle controls a tilt actuator to selectively tilt the chassis. Optionally, a steering actuator is coupled to the front wheels and controlled by the electronic controller to selectively steer the wheels. A sensor configured to measure orientation-dependent information may be coupled to the chassis by a gimbal configured to compensate for vehicle tilt. In some examples, the autonomous vehicle comprises an autonomous delivery robot.

Abstract: There is provided herein a motion-based evaluation of reaction time that utilizes motion detection hardware of a mobile device to determine auditory and visual stimulated reaction time. In an embodiment, the subject holds a mobile computing device equipped with built-in triaxis accelerometer and gyroscope with both hands at arms length away from the face. A visual or auditory stimulus is then presented on screen via a software application that also records the response time for the individual to initiate a movement of the device. A simple reaction time test could include the movement of the device in any direction that exceeded a threshold of movement beyond what would be expected from static holding. An embodiment of a choice reaction time test would provide for specific directional movements as it related to an instructed stimulus.

Abstract: A tiltable vehicle is configured to transform between an autonomous mode and a rideable mode by pivoting the handlebars and steering column of the vehicle about a pitch axis. In the autonomous mode, the steering column is folded back toward the chassis and a tiltable chassis of the vehicle is prevented from tilting. In the rideable mode, the steering column is unfolded and the chassis is free to tilt. In some examples, a tiltable vehicle includes features beneficial for vehicle-sharing, such as parking devices or a basket. These features may be included on any suitable vehicle and are not limited to use on transforming vehicles.

Abstract: A tiltable vehicle has a pair of front wheels coupled to a tiltable chassis by a tilt linkage, such that the pair of front wheels and the chassis are configured to tilt in unison with respect to a roll axis of the chassis. The tilt linkage includes a four-bar linkage having a pair of upper bar segments coupled to the chassis at spaced-apart respective inboard joints. In some examples, the inboard joints of the upper bar segments are each disposed outboard of a central chassis joint of a lower bar of the tilt linkage. An orientation sensor is configured to detect directional information regarding a net force vector applied to the chassis, and a tilt actuator operatively coupled to the chassis and configured to selectively tilt the chassis. A controller is configured to selectively control the tilt actuator based on the directional information from the orientation sensor.

Abstract: A vehicle of the present disclosure may include at least one pair of opposing wheels coupled to a tiltable central chassis by a four-bar linkage or the like, such that the wheels are configured to tilt in unison with the central chassis. A steering actuator and/or a tilting actuator may be discretely controllable by an electronic controller of the vehicle. The controller may include processing logic configured to maintain alignment between a median plane of the chassis and a net force vector caused by gravity and any induced centrifugal forces. Various control algorithms may be utilized to steer the vehicle along a desired path, either autonomously or semi-autonomously.

Abstract: According to some aspects, techniques are provided for building and deploying a machine learning application that do not require a user to have expert knowledge of machine learning or programming. These techniques may be executed by a system that provides a graphical user interface which allows a user to visually define a workflow for a machine learning application, without requiring the user to be an expert in machine learning. The system may automatically represent the workflow as a specification that may be used to build and deploy a machine learning application. The system may automatically execute the workflow in a series of stages while managing data flow and execution context between the stages. Such an execution process may provide flexibility in execution so that a user can build a complex machine learning application without it being necessary for the user to have detailed knowledge of how execution is managed.

Abstract: According to some aspects, techniques are provided for building and deploying a machine learning application that do not require a user to have expert knowledge of machine learning or programming. These techniques may be executed by a system that provides a graphical user interface which allows a user to visually define a workflow for a machine learning application, without requiring the user to be an expert in machine learning. The system may automatically represent the workflow as a specification that may be used to build and deploy a machine learning application. The system may automatically execute the workflow in a series of stages while managing data flow and execution context between the stages. Such an execution process may provide flexibility in execution so that a user can build a complex machine learning application without it being necessary for the user to have detailed knowledge of how execution is managed.

Abstract: A tiltable vehicle is configured to transform between an autonomous mode and a rideable mode by pivoting the handlebars and steering column of the vehicle about a pitch axis. In the autonomous mode, the steering column is folded back toward the chassis and a tiltable chassis of the vehicle is prevented from tilting. In the rideable mode, the steering column is unfolded and the chassis is free to tilt. In some examples, a tiltable vehicle includes features beneficial for vehicle-sharing, such as parking devices or a basket. These features may be included on any suitable vehicle and are not limited to use on transforming vehicles.

Abstract: A tiltable vehicle is configured to transform between an autonomous mode and a rideable mode by pivoting the handlebars and steering column of the vehicle about a pitch axis. In the autonomous mode, the steering column is folded back toward the chassis and a tiltable chassis of the vehicle is prevented from tilting. In the rideable mode, the steering column is unfolded and the chassis is free to tilt. In some examples, a tiltable vehicle includes features beneficial for vehicle-sharing, such as parking devices or a basket. These features may be included on any suitable vehicle and are not limited to use on transforming vehicles.

Abstract: A configurable light sensor comprising an array of photocells. The light sensor measures ambient light reflected from a surface in area to be monitored. A lens directs the light onto the array of photocells. A microcontroller reads each individual photocell and processes the signals from the photocells according to one or more of the methods disclosed herein. The light sensor is configurable in that the area that monitored by the light sensor is customized to match the area lit by an associated light source. The configuring process defines an active area to be monitored, by determining which subset of photocells in the array, referred to as the active set of photocells, corresponds to the area being illuminated by the light fixture. The light sensor is subsequently able to monitor the defined active area and to report sensor output values based on measurements made from the photocells monitoring the active area.

Abstract: A tiltable vehicle is configured to transform between an autonomous mode and a rideable mode by pivoting the handlebars and steering column of the vehicle about a pitch axis. In the autonomous mode, the steering column is folded back toward the chassis and a tiltable chassis of the vehicle is prevented from tilting. In the rideable mode, the steering column is unfolded and the chassis is free to tilt. In some examples, a tiltable vehicle includes features beneficial for vehicle-sharing, such as parking devices or a basket. These features may be included on any suitable vehicle and are not limited to use on transforming vehicles.

Abstract: A tiltable vehicle is configured to transform between an autonomous mode and a rideable mode by pivoting the handlebars and steering column of the vehicle about a pitch axis. In the autonomous mode, the steering column is folded back toward the chassis and a tiltable chassis of the vehicle is prevented from tilting. In the rideable mode, the steering column is unfolded and the chassis is free to tilt. In some examples, a tiltable vehicle includes features beneficial for vehicle-sharing, such as parking devices or a basket. These features may be included on any suitable vehicle and are not limited to use on transforming vehicles.

Abstract: An autonomous tilting three-wheeled vehicle comprises a pair of front wheels coupled to a tiltable chassis by a mechanical linkage, such that the pair of wheels and the chassis are configured to tilt in unison with respect to a roll axis of the chassis. An electronic controller of the autonomous vehicle controls a tilt actuator to selectively tilt the chassis. Optionally, a steering actuator is coupled to the front wheels and controlled by the electronic controller to selectively steer the wheels. A sensor configured to measure orientation-dependent information may be coupled to the chassis by a gimbal configured to compensate for vehicle tilt. In some examples, the autonomous vehicle comprises an autonomous delivery robot.

Abstract: A method for discovering the topology of a connected lighting system. The method comprises: receiving a first measurement of a first light source in relation to a first sensor; receiving a second measurement of the first light source in relation to a second sensor; generating a first estimate of the position of the first light source, based on a first angle at the first sensor between (i) a first direction toward a current light source position and (ii) a second direction defined by the first measurement; generating a second estimate of the position of the first light source, based on a second angle at the second sensor between (i) a third direction toward the current light source position and (ii) a fourth direction defined by the second measurement; and generating an updated light source position of the first light source based on the first and second estimates.