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- Apr 01, 2008 - DARPA Phase II on Human-Robot Interaction will use DCF
- IAI receives a new SBIR Phase II contract from the DARPA for the proposal named “I A Mixed Initiative Approach to Human-Robot Interaction for "Through-the-door" Operation.” We propose an innovative, distributed multi-agent based mixed-initiative planning approach to facilitate true partnership among humans and robots useful in many tactical application environments including “through-the-door” and NIST’s search and rescue scenario. We leverage our distributed control framework (DCF) along with the Cricket indoor positioning system and OpenCV based vision for situational awareness, to coordinate shoulder-to-shoulder team building and provide intelligent support for agile execution. Algorithms wise, IAI will leverage the hierarchical task network (HTN) representation to organize the team members and their task allocations efficiently in completely distributed and scalable manner. Additionally, we propose to build cognition models for humans and intent detection for overall optimal team performance. All capabilities required to demonstrate these tactical scenarios beginning with decomposition of tasks among the human and robots while coordinating partners’ actions in decision making will be developed and integrated seamlessly. Our approach is inherently robust and scalable as it leads to significant improvement in human situational awareness and human-robot camaraderie for better coordination and control of different activities required to complete missions in chaotic and disorganized scenarios. We will demonstrate the end to end scenario on distributed control platform (DCF) with multiple sensor and cognition modules readily available at IAI.
- Feb 01, 2008 - AF BAA on Robot Teams for Mobile Networking will use DCF
- IAI receives a new BAA contract from the Air Force for the proposal named entitled “ARTeMUS: Agile Robot Teams for Mobile Networking in Urban Settings.” The Intelligent Automation Team consisting of Intelligent Automation, Inc., Carnegie Mellon University, University of Southern California and University of Texas at Austin proposes an innovative approach called ARTeMUS (Agile Robot Teams for Mobile Networking in Urban Settings) to meet the objectives of DARPA's LANdroid Control Software. The primary objectives/goal of ARTeMUS is to provide LANdroids with capabilities for autonomous Self-configuration, Self-optimization, Self-healing, Tethering and Intelligent Power Management. Our solution will provide revolutionary capabilities for the warfighter to maintain communications and reach back in a NLOS/urban environment. It will enable the deployment of a low cost, robust and agile temporary networking infrastructure to support the warfighter.
- Jan 10, 2008 - NASA Phase II on ACES Model Composition will use Cybele Matlab Bridge
- IAI receives a new SBIR Phase II contract from NASA for the proposal named “ACES Model Composition and Development Toolkit to Support NGATS Concepts.” Building on recent advances in formal agent specification, protocol composition, model composers, and visualization capabilities provided by development environments such as eclipse, the key innovation in this effort is the development of an agent model composition toolkit that will enable NASA ACES users to design and compose agents, activities, and models to meet specific design requirements. From a users perspective the front end of the toolkit will be very similar in spirit to a Simulink® or a Matrix-X® where users can drag and drop from a library of models, interconnect the inputs and outputs of these models, and run a simulation. In addition to composing models, a key feature provided by this toolkit is a family of “physical language specific adaptors” that will allow users to import domain models written in other languages such as Matlab®. Integral to the Phase II effort will enhancements to the ACES-X, TAP architecture to enable plug-n-play of detailed 4-D trajectories in the terminal area, the development of a Command and Control framework for ACES-X and the development of a library of C2 models to enhance the capabilities of the ACES-X TAP.
- Sep 01, 2007 - OSD BAA on Teams of Unmanned Vehicles will use DCF
- IAI receives a new BAA contract from the Army Contracting Agency for the proposal named “An Integrated Agent-based Framework for Simulated, Virtual and Live Testing of Teams of Unmanned Vehicles.” We provide a brief overview of the proposed Integrated Agent-based T&E Framework for Teams of Unmanned Autonomous Systems. This proposed framework and software will allow for systematic and structured T&E of technologies in the cognitive/social domain using a combination of simulation, hardware in the loop testing (mixed mode live and virtual UAS) and live testing. Using this proposed technology testers will quickly and efficiently be able to develop test plans and validate UAST performance.
- Sep 01, 2007 - Army Phase on Network GPS will use DCF
- IAI receives a new SBIR Phase II contract from the Army for the proposal named “Mobile Ad Hoc Networked GPS for Robust Positioning.” In phase II, after developing a hardware prototype of integrated INS/GPS we will build a small network of INS/GPS nodes to evaluate our algorithm in a live test. We will also develop a Hardware In the Loop simulation that allows IAI to test and evaluate the scalability of its algorithm and hardware in a large network with a fraction of the budget of an all “physical node” test. The specific application is the ARMY One Tactical Engagement Simulation System (OneTESS), engagement centric test and training program where soldier and platform position estimates are required with high accuracy for target-shooter pairings, weapons effects, and engagement resolution.
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| Apr 01, 2008 - DARPA Phase II on Human-Robot Interaction will use DCF |
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| Feb 01, 2008 - AF BAA on Robot Teams for Mobile Networking will use DCF |
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| Jan 10, 2008 - NASA Phase II on ACES Model Composition will use Cybele Matlab Bridge |
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| Sep 01, 2007 - OSD BAA on Teams of Unmanned Vehicles will use DCF |
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| Sep 01, 2007 - Army Phase on Network GPS will use DCF |
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