Abstract: Systems and methods are provided for providing redundant pulse-width modulation (PWM) throttle control. The system includes a manual throttle controller configured to generate a manual PWM throttle control signal, and an automated throttle control system. The automated throttle control system includes a plurality of automated throttle controllers, each of which being configured to independently control a throttle of a vehicle, and each including a processor configured to generate and output an automated PWM throttle control signal, a first double pole double throw (DPDT) relay that, when engaged, is configured to receive and output the manual PWM throttle control signal, and a second DPDT relay, configured to receive and output the automated PWM throttle control signal to an engine, when the second DPDT relay is engaged; and receive and output the manual PWM throttle control signal to the engine, when the DPDT relay is disengaged.

Abstract: A gantry for loading or unloading containers into a cargo area of a vehicle. The gantry includes a pair of substantially parallel beams extending in a first horizontal direction, a rail mounted between the beams to be moveable in the first horizontal direction, and a trolley coupled to and moveable along the rail in a second horizontal direction perpendicular to the first horizontal direction. The trolley supports a hoist including a plate having an actuatable gripping device for selectively engaging and releasing the containers, and the plate is moveable in a vertical direction relative to the trolley between a retracted position and an extended position to lift and lower the containers. The gantry is thus arranged to load/unload containers into the cargo area in horizontal levels.

Abstract: Systems and methods for deploying warning devices for a vehicle. The vehicle can be an autonomous vehicle. A method of deploying warning devices for a vehicle includes deploying one or more warning devices from the vehicle, the one or more warning devices being coupled to a deployment vehicle. Deploying the one or more warning devices includes controlling the deployment vehicle. A system for deploying warning devices for a vehicle includes a deployment vehicle and one or more warning devices coupled to the deployment vehicle. The system includes a controller configured to deploy the one or more warning devices from the vehicle. Deploying the one or more warning devices includes the controller configured to control the deployment vehicle.

Abstract: A robot control system determines which of a number of discretizations to use to generate discretized representations of robot swept volumes and to generate discretized representations of the environment in which the robot will operate. Obstacle voxels (or boxes) representing the environment and obstacles therein are streamed into the processor and stored in on-chip environment memory. At runtime, the robot control system may dynamically switch between multiple motion planning graphs stored in off-chip or on-chip memory. The dynamically switching between multiple motion planning graphs at runtime enables the robot to perform motion planning at a relatively low cost as characteristics of the robot itself change.

Abstract: A multi-level induction station is disclosed. The multi-level induction station includes multiple sorting levels arranged in a vertical stacked configuration; a vertically traveling automated lift that carries articles vertically between the sorting levels along a frame positioned proximate to the multiple sorting levels; an information acquisition device positioned to read information from an article on the lift; multiple transport devices positioned on the sorting levels to receive the articles; and a control system that directs the multi-level induction station to determine a destination for an article and direct the lift to a platform where a transport device is at an article-receiving position at the sorting level to receive the article.

Abstract: Each of a plurality of co-located inspection camera modules captures raw images of objects passing in front of the co-located inspection camera modules which form part of a quality assurance inspection system. The inspection camera modules have either a different image sensor or lens focal properties and generate different feeds of raw images. The co-located inspection camera modules can reside within a single standalone module and be selectively switched amongst to activate the corresponding feed of raw images. The activated feed of raw images is provided to a consuming application or process for quality assurance analysis.

Abstract: Systems and methods for detecting a portion of an environment of a vehicle are provided. The method may comprise generating, using one or more sensors coupled to a vehicle, environment data from an environment of the vehicle, wherein the environmental data comprises one or more of the following: ground LiDAR data from the environment; camera data from the environment; and path data corresponding to a change in position of one or more other vehicles within the environment. The method may comprise inputting the environmental data into a machine learning model trained to generate a heatmap, and, using a processor, based on the environmental data, determining a portion of the environment, wherein the portion of the environment comprises an area having a likelihood, greater than a minimum threshold, of being adjacent to one or more pavement markings, and generating the heatmap, wherein the heatmap corresponds to the portion of the environment.

Abstract: A method and system for creating a high-fidelity depiction of a scene including an object within the scene are provided. The method includes uniformly illuminating a target surface of the object with light to obtain reflected, backscattered illumination. The method also includes sensing via a volumetric sensor, brightness of the surface due to a diffuse component of the backscattered illumination to obtain brightness information. Backscattered illumination from the target surface is inspected to obtain geometric measurements which include sensor noise. Rotationally and positionally invariant measured surface albedo including albedo noise of the object is computed based on the brightness and the geometric measurements. A machine-learning model such as a diffusion sensor model is applied to the geometric measurements and the measured surface albedo to remove the sensor noise and the albedo noise, respectively, to obtain a prediction of actual geometry and actual albedo, respectively, of the object.

Abstract: An end effector device and system for suction-based grasping of bagged objects that can include a body structure with a vacuum line opening and an object engagement region, the vacuum line opening being configured to couple at least one pressure line of a vacuum pressure system to a defined internal channel of the body structure; the body structure comprising an internal structure that defines a concave inner chamber with a chamber opening at the object engagement region; and the internal structure comprising an array of inlets positioned along at least one wall of the concave inner chamber, wherein each inlet defines an opening in the body to the defined internal channel.

Abstract: A robot control system determines which of a number of discretizations to use to generate discretized representations of robot swept volumes and to generate discretized representations of the environment in which the robot will operate. Obstacle voxels (or boxes) representing the environment and obstacles therein are streamed into the processor and stored in on-chip environment memory. At runtime, the robot control system may dynamically switch between multiple motion planning graphs stored in off-chip or on-chip memory. The dynamically switching between multiple motion planning graphs at runtime enables the robot to perform motion planning at a relatively low cost as characteristics of the robot itself change. Various aspects of such robot motion planning are implemented in particular systems and methods that facilitate motion planning of the robot for various environments and tasks.

Abstract: A robotic kitchen system for preparing food items in combination with at least one kitchen appliance such as a fryer comprises an automated bin assembly, a robotic arm, and a basket held by the robotic arm. The automated bin assembly comprises at least one automated bin for holding the food items. A camera or sensor array collects image data of the food items in the bin(s). A central processor is operable to compute and provide directions to the first robotic arm and automated bin assembly based on the image data and stored data to (a) move the robotic arm to the bin; (b) actuate the bin to drop the food items from the bin into the basket; (c) and to move the basket into the fryer all without human interaction. Related methods are also described.

Abstract: Devices, systems, and methods for determining whether a container is empty in the context of robotic picking solutions. The system includes a plurality of sensors configured to gather container data regarding a container at a first location, wherein the container data includes at least two of weight data related to the container, depth data related to the container, and color sensor data related to the container, and a processor configured to execute instructions stored on a memory to provide a sensor fusion module configured to process the received container data to determine whether the container is empty.

Abstract: An end effector device and system for suction-based grasping of bagged objects that can include a body structure with a vacuum line opening and an object engagement region, the vacuum line opening being configured to couple at least one pressure line of a vacuum pressure system to a defined internal channel of the body structure; the body structure comprising an internal structure that defines a concave inner chamber with a chamber opening at the object engagement region; and the internal structure comprising an array of inlets positioned along at least one wall of the concave inner chamber, wherein each inlet defines an opening in the body to the defined internal channel. The body structure may additionally include a suction cup system that comprises a flexible sealing lip at the object engagement region; wherein the chamber opening being positioned within a grasping region of the sealing lip.

Abstract: A method includes: receiving a message, via a communication link, including sensor data in a data stream from a sensor device and first reference data based on a deterministic function and a seed value; extracting the first reference data from the message; generating second reference data based on the deterministic function and the seed value; calculating a first quantity of bit errors in the first reference data based on the second reference data; calculating a bit error rate of the communication link based on the first quantity of bit errors; in response to the bit error rate exceeding a bit error rate threshold for the data stream, generating a second message representing a fault; and transmitting the second message to a second device.

Abstract: A legged robot has legs that have multiple links, one of which is a distal link. A foot assembly for interacting with the terrain is disposed on a distal end of the distal link. As a robot takes a step, a portion of the foot assembly that has lower effective inertia than the rest of the foot assembly touches down first and acts to reduce the vertical velocity of the rest of the foot assembly before it reaches the terrain through the use of an actuator located on the distal or intermediate link.

Abstract: A feedback-diverse, dual-controller-architecture functional safety system includes: a first module; a second module; and an inter-module logic.

Abstract: One variation of a method for tracking and maintaining inventory in a store includes: accessing a image of an inventory structure in the store; identifying a top shelf, in the inventory structure, depicted in the image; identifying a set of product units occupying the top shelf based on features detected in the image; identifying a second shelf, in the set of shelves in the inventory structure, depicted in the image, the second shelf arranged below the top shelf in the inventory structure; based on features detected in the image, detecting an understock condition at a slot—assigned to a product type—on the second shelf; and, in response to the set of product units comprising a product unit of the product type, generating a prompt to transfer the product unit of the product type from the top shelf into the slot on the second shelf at the inventory structure.

Abstract: A driving simulator can include one or more input devices; a display; and one or more processors communicatively coupled with the one or more input devices and the display. The one or more processors can be configured to store, in memory, a predetermined path for a simulated vehicle to travel in a simulated environment; execute an application to cause the simulated environment to appear on the display in a autonomous mode in which the application is configured to simulate the simulated vehicle driving by updating the display over time according to the predetermined path; receive an input from at least one of the one or more input devices; and responsive to receiving the input, change the mode of the application from the autonomous mode to a manual mode in which the application is configured to update the display according to inputs from the one or more input devices.

Abstract: A system can include a driving simulator. The driving simulator can include one or more input devices corresponding to controls of a vehicle; a display; and one or more processors communicatively coupled with the one or more input devices and the display. The one or more processors can be configured to simulate, on the display, an autonomous vehicle driving through a simulated environment in a manual mode based on inputs from the one or more input devices, automatically in an autonomous mode, and transition between manual mode and autonomous mode. The system can include a remote computing device. The remote computing device can be configured to receive an input from a user interface displayed at the remote computing device during a simulation of the autonomous vehicle in the autonomous mode, the input causing a fault in the operation of the autonomous vehicle in the autonomous mode.

Abstract: An autonomous tool including a multi-sensor package enabling identification of the position of the tool in a construction site so that the tool may navigate to locations where tasks are performed. The tool may include at least one sensor from the group of a drive system encoder, stereo camera, inertial measurement unit, optical flow sensor, and LiDAR. The tool may include a holonomic drive allowing at least one tool of the mobility platform to reach the extremities of a construction site. The platform may be used as part of a system that receives design information relating to the construction site and tasks to be performed by the tool and then generates commands that control the tool to navigate along a path generated to include landmarks within range of and therefore detectable by the sensors for a large percentage of the path.