Abstract: A constellation of Ultra-Wide Band (UWB) nodes, each with an UWB transceiver operating both as a monostatic/bi-static Radar, provide precise positional determination of both participating and nonparticipating movable objects. The UWB constellation identifies and locates objects within a geographic area using multipath signal analysis forming an occupancy grid. The resulting occupancy grid can identify parked cars, pedestrians, obstructions, and the like to facilitate autonomous vehicle operations, safety protocols, traffic management, emergency vehicle prioritization, collisions avoidance and the like.

Abstract: Gaining a time signal from a radio signal such as GPS, an ultra-wide band constellation can be synchronized. While the entirety of the constellation is synchronized to a nanosecond level of accuracy, local subsets of ultra-wide band nodes can establish even finer degrees of synchronization resulting in more accurate positional determination. These synchronization signals can be propagated to other nodes that are denied or incapable of receiving synchronizing radio (GPS) signals. Moreover, in cases in which a plurality of UPN nodes is unavailable to accurately determine an objects position, available UPN nodes can be combined with GPS pseudo ranges to achieve positional determination.

Abstract: Coherent radar returns gained from Ultra-Wideband Radars are correlated with features extracted from a georeferenced map to refine positional information and pose of an object. Data collected from one or more UWB Radars and other real time sensors affixed on an object can be processed to identify discrete edges or characteristic returns such as a pole, building or the like. These coherent returns can be correlated with features extracted from a georeferenced map. As the UWB Radar(s) location and orientation with respect to the object is (are) known the precise location and pose of the object on the georeferenced map can be determined by matching features found in the map or imagery with those of the coherent return. Moreover the configuration of the UWB Radars can be modified based on a perception of the local environment.

Abstract: A unified collaboration environment is formed by establishing a local workspace positional frame of reference using a plurality of UWB transceivers. With a frame of reference established a communication link is established between each of the workspaces, and a collaboration module to establish a peer-to-peer network. Data is received from each of the workspaces including the local workspace frame of reference, the set of available assets and workspace behavior (tasks). The collaboration module crafts a unified collaboration environment by transforming the local workspace into a collaborative positional frame of reference. A user, through a user interface, can offer real-time input to a virtualized version of the workspace to augment actions within the workspace environment.

Abstract: A mobile positional constellation system determines a mobile device's relative position using a plurality of UWB transceivers affixed to a platform. The platform, which itself can be mobile, includes a plurality of UWB transceivers and a trilateration module. The mobile device, which can also have one or more UWB transceivers, exchanges one or more signals with the platform to determine a relative position with respect to the platform through trilateration. With an established relative position established behavior of the mobile device can be augmented. The synchronous capability of UWB signals provides a user with direct control of a mobile device in austere conditions including those in which GPS is denied.

Abstract: An architecture comprising a hardware layer, a data collection layer and an execution layer lays the foundation for a behavioral layer that can asynchronously access abstracted data. A plurality of data sensors asynchronously collect data which is thereafter abstracted so as to be usable by one or more behavioral modules simultaneously. Each of the behaviors can be asynchronously executed as well as dynamically modified based on the collected abstracted data. Moreover, the behavior modules themselves are structured in a hierarchical manner among one or more layers such that outputs of behavior module associated with a lower layer may be the input to a behavior module of a higher letter. Conflicts between outputs of behavior modules are arbitrated and analyzed so as to conform with an overall mission objective.

Abstract: Systems, methods, and user interfaces are used for controlling a robot. An environment map and a robot designator are presented to a user. The user may place, move, and modify task designators on the environment map. The task designators indicate a position in the environment map and indicate a task for the robot to achieve. A control intermediary links task designators with robot instructions issued to the robot. The control intermediary analyzes a relative position between the task designators and the robot. The control intermediary uses the analysis to determine a task-oriented autonomy level for the robot and communicates target achievement information to the robot. The target achievement information may include instructions for directly guiding the robot if the task-oriented autonomy level indicates low robot initiative and may include instructions for directing the robot to determine a robot plan for achieving the task if the task-oriented autonomy level indicates high robot initiative.

Abstract: Systems, methods, and user interfaces are used for controlling a robot. An environment map and a robot designator are presented to a user. The user may place, move, and modify task designators on the environment map. The task designators indicate a position in the environment map and indicate a task for the robot to achieve. A control intermediary links task designators with robot instructions issued to the robot. The control intermediary analyzes a relative position between the task designators and the robot. The control intermediary uses the analysis to determine a task-oriented autonomy level for the robot and communicates target achievement information to the robot. The target achievement information may include instructions for directly guiding the robot if the autonomy level indicates low robot initiative and may include instructions for directing the robot to determine a robot plan for achieving the task if the autonomy level indicates high robot initiative.