Abstract: A system and method to identify fuel consumption optimization based on reactive and deliberative components is described. Modifiable use conditions, such as speeding, excessive idling, gear selection, acceleration and deceleration profiles, which all represent opportunities for fuel savings, are identified and optimized for minimal fuel consumption based on a reactive interaction with the vehicle on a real-time basis. Deliberative analysis of historical data linked to a specific location or route is also conducted to arrive at a historical optimal fuel consumption profile. Similar historical fuel consumption profiles for the same route in question from other nearby vehicles are collected and analyzed to determined a more robust deliberative component of optimal fuel consumption. The reactive and deliberative components are optimized fuel consumption are merged to form a recommended profile for optimal fuel consumption.

Abstract: Robotic payloads are abstracted to provide a plug-and-play system in which mission specific capabilities are easily configured on a wide variety of robotic platforms. A robotic payload architecture is presented in which robotic functionalities are bifurcated into intrinsic capabilities, managed by a core module, and mission specific capabilities, addressed by mission payload module(s). By doing so the core modules manages a particular robotic platform's intrinsic functionalities while mission specific tasks are left to mission payloads. A mission specific robotic configuration can be compiled by adding multiple mission payload modules to the same platform managed by the same core module. In each case the mission payload module communicates with the core module for information about the platform on which it is being associated.

Abstract: Disparate positional data derived from one or more positional determinative resources are fused with peer-to-peer relational data to provide an object with a collaborative positional awareness. An object collects positional determinative information from one or more positional resources so to independently determine its spatial location. That determination is thereafter augmented by peer-to-peer relational information that can be used to enhance positional determination and modify behavioral outcomes.

Abstract: Using distributed positioning, collaborative behavioral determination, and probabilistic conflict resolution objects can independently identify and resolve potential conflicts before the occur. In one embodiment of the invention, interactive tags and other sensor resources associated with each of a plurality of objects provide among the objects relative positional data and state information. Using this information each object develops a spatial awareness of its environment, including the positional and action of nearby objects so as to, when necessary, modify its behavior to more effectively achieve an objective and resolve potential conflicts.

Abstract: A system and its associated methodology for distributed positioning and collaborative behavioral determination among a group of objects, interactive tags associated with each of a plurality of objects provide to each object relative positional data and state information regarding the other nearby objects. Using this information, each object develops a spatial awareness of its environment, including the position and action of nearby objects so as to, when necessary, modify its behavior to more effectively achieve an objective.

Abstract: A system for interaction with a the environment includes an initial manipulation module operable to orient a device in a general direction of a surface of an object and a range control module operable to converge the device and the surface. Once the device and surface are in the proximity of each other a contact sensor detects when physical contact between the surface and the device occurs. Thereafter, a proprioception module measures normal force disparities between the surface and device motion actuators and finally, an exteroception module to measure translational resistance disparities between relative motion of the surface and the device. The system uses these disparity measurements and actuator positions to modify the manipulation of the device.

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: Robotic payloads are abstracted to provide a plug-and-play system in which mission specific capabilities are easily configured on a wide variety of robotic platforms. A robotic payload architecture is presented in which robotic functionalities are bifurcated into intrinsic capabilities, managed by a core module, and mission specific capabilities, addressed by mission payload module(s). By doing so the core modules manages a particular robotic platform's intrinsic functionalities while mission specific tasks are left to mission payloads. A mission specific robotic configuration can be compiled by adding multiple mission payload modules to the same platform managed by the same core module. In each case the mission payload module communicates with the core module for information about the platform on which it is being associated.

Abstract: Changes and anomalies in multi-modal data are detected, collected and abstracted into understandable and actionable formats utilizing, for example, color, intensity, icons and texture creating a rendition of current and developing situations and events. Changes and anomalies in multi-modal sensor data are detected, aggregated, abstracted and filtered using case-based reasoning providing a tractable data dimensionality. From this collection of data situations are recognized and presented in a means so as to assist a user in accessing an environment and formulate the basis a recommended course of action.

Abstract: A system and method to identify fuel consumption optimization based on reactive and deliberative components is described. Modifiable use conditions, such as speeding, excessive idling, gear selection, acceleration and deceleration profiles, which all represent opportunities for fuel savings, are identified and optimized for minimal fuel consumption based on a reactive interaction with the vehicle on a real-time basis. Deliberative analysis of historical data linked to a specific location or route is also conducted to arrive at a historical optimal fuel consumption profile. Similar historical fuel consumption profiles for the same route in question from other nearby vehicles are collected and analyzed to determined a more robust deliberative component of optimal fuel consumption. The reactive and deliberative components are optimized fuel consumption are merged to form a recommended profile for optimal fuel consumption.