A self-contained, high precision navigation method and system for a mobile vehicle includes an active coherent imaging sensor array with multiple receivers that observes the surrounding environment and a digital processing component that processes the received signals to form interferometric images and determine the precise three-dimensional location and three-dimensional orientation of the vehicle within that environment. A mesh navigation system for a network of mobile vehicles is provided where each mobile vehicle hosts an active coherent imaging sensor that observes a common area in the environment that surrounds the network of mobile vehicles. The navigation system on each mobile vehicle receives signals from the other mobile vehicles reflected from the common area in the environment. These signals are processed onboard each mobile vehicle to form interferometric images and determine the precise three-dimensional location of each mobile vehicle relative to the others operating and moving within the network.

An autonomous lawn mower is described. The autonomous lawn mower comprises a chassis supporting a podium. In some examples, the podium comprises an upper portion and a lower portion, where the upper portion may support one or more sensors, antennas and/or cameras that may be used to provide environmental information regarding the surroundings of the autonomous lawn mower. The upper portion may be detached from the lower portion such that the upper portion is calibrated prior to the upper portion being coupled to the lower portion.

Methods perform one or more dispatched medical logistics operations using a modular autonomous bot apparatus assembly and a dispatch server where the operations are related to a diagnosis kit for treating a patient. The MAM of the bot receives a dispatch command, verifies compatibility of the bot assembly with the dispatched operation(s), receives a diagnosis kit in the CSS, has the MAM autonomously causing the MB to move to a destination location while notifying the authorized delivery recipient for the diagnosis kit of the approaching delivery. With appropriate authentication input received, the MAM coordinates with the CSS to provide access to the kit, monitor unloading of the kit, provide instructional information on use of the kit, and autonomously cause the MB to return to the original location with a return item related to the diagnosis kit with notification to personnel at the medical entity about the return item.

A vehicle agnostic removable pod can be mounted on a vehicle using one or more legs of a pod mount. The removable pod can collect and time stamp a variety of environmental data as well as vehicle data. For example, environmental data can be collected using a sensor suite which can include an IMU, 3D positioning sensor, one or more cameras, and/or a LIDAR unit. As another example, vehicle data can be collected via a CAN bus attached to the vehicle. Environmental data and/or vehicle data can be time stamped and transmitted to a remote server for further processing by a computing device.

A vehicle agnostic removable pod can be mounted on a vehicle using one or more legs of a pod mount. The removable pod can collect and time stamp a variety of environmental data as well as vehicle data. For example, environmental data can be collected using a sensor suite which can include an IMU, 3D positioning sensor, one or more cameras, and/or a LIDAR unit. As another example, vehicle data can be collected via a CAN bus attached to the vehicle. Environmental data and/or vehicle data can be time stamped and transmitted to a remote server for further processing by a computing device.

Methods described herein relate to self-localization. Methods may include: receiving sensor data from a vehicle traveling along a road segment; identifying one or more objects of the environment from the sensor data; determining a coarse location of the vehicle; comparing the identified one or more objects with corresponding ground truth objects; calculating an observation in response to the comparison of the identified one or more objects with the corresponding ground truth objects; determining a location of the vehicle with a higher precision than the coarse location based, at least in part, on the observation; and allocating resources of the apparatus based, at least in part, on the observation.

A portable robotic platform system and method for automatically detecting, locating, and marking underground assets are provided. The portable robotic platform includes a housing with a sensor module including ground penetrating radar (GPR), LiDAR, and electromagnetic (EM) sensors. The robotic platform automatically collects GPR and EM data and uses onboard post-processing techniques to interpret the sensor data and identify the location(s) of underground infrastructure. The portable robotic platform can be deployed to apply paint to a ground surface to identify the located underground assets.

Lighting control systems may be commissioned for programming and/or control with the aid of a mobile device. Design software may be used to create a floor plan of how the lighting control system may be designed. The design software may generate floor plan identifiers for each lighting fixture, or group of lighting fixtures. During commissioning of the lighting control system, the mobile device may be used to help identify the lighting devices that have been installed in the physical space. The mobile device may receive a communication from each lighting control device that indicates a unique identifier of the lighting control device. The unique identifier may be communicated by visible light communication (VLC) or RF communication. The unique identifier may be associated with the floor plan identifier for communication of digital messages to lighting fixtures installed in the locations indicated in the floor plan identifier.

A self-propelled device includes a spherical housing and an internal drive system. The self-propelled device can further include an internal structure having a magnet holder that holds a first set of magnets and an external accessory comprising a second set of magnets to magnetically interact, through the spherical housing, with the first set magnets.

A marine vessel control system comprises a propulsion unit and a steering actuator for steering the propulsion unit. There is a shift actuator for shifting gears in the propulsion unit and a throttle actuator for increasing or decreasing throttle to the propulsion unit. There is an input device for providing user inputted steering commands to the steering actuator and for providing user inputted shift and throttle commands to the shift actuator and the throttle actuator. There is a sensor for detecting a global position and a heading direction of the marine vessel. A controller receives position and heading values of the marine vessel from the sensor. The controller compares the received position value to a pre-programmed position value to determine a position error difference. The controller also compares the received heading value to a pre-programmed heading value to determine a heading error difference.