The power of collaborative systems
The power of collaborative systems
This problem addressed here is how to optimize the deployment of distributed robotic assets in a real world environment with unpredictable contingencies such as uncertainty of robot performance, navigation obstacles, communication losses and constraints on sensor capabilities and reliability. To solve this problem, Perceptronics Solutions has joined forces with the USC Computer Science Department’s TEAMCORE Group and Robotics Research Lab in a DARPA-supported SBIR Phase II project to develop a Multiagent Adjustable Autonomy Framework (MAAF) that will support multi-robot, multi-human teams in performing specialized tactical maneuvers. MAAF applies advances in goal-oriented, multiagent planning and coordination technology to create an infrastructure that will facilitate cooperative and collaborative performance of human and robots as equal team partners.
The main challenge is to take full advantage of the unique capabilities of teams composed of robots, agents and people (RAPs) to improve the safety, efficiency, reliability and cost at which mission goals can be achieved, while maintaining dynamic adaptation to the real-world operating environment with its special limitations and contingencies.
The MAAF system is based on several innovative research products, including: TEAMCORE Group’s Machinetta, a state-of-the-art robot proxy framework with adjustable autonomy and a domain-independent teamwork model; Perceptronics Solutions’ Composable Command Language (CCL), a high-level language and tool set that enables tasking of heterogeneous unmanned vehicle teams with varying levels of autonomy; and Perceptronics' Mixed Initiative Team Performance Assessment System (MITPAS) to measure and assess the performance of teams involving both human and robotic elements. This R&D is creating a proxy architecture for human-robot teams that integrates domain-independent modules for coordination reasoning, maintaining local beliefs (state) and adjustable autonomy with domain-specific modules for mission completion.
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