Rockwell Collins, Inc. (20240329631). AUTONOMOUS AGENT WITH ONLINE MISSION SELF-SIMULATION simplified abstract
Contents
AUTONOMOUS AGENT WITH ONLINE MISSION SELF-SIMULATION
Organization Name
Inventor(s)
Daniel K. Papke of Marion IA (US)
Joel J. Fuster of Panama City FL (US)
AUTONOMOUS AGENT WITH ONLINE MISSION SELF-SIMULATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240329631 titled 'AUTONOMOUS AGENT WITH ONLINE MISSION SELF-SIMULATION
Simplified Explanation: The patent application describes an autonomous agent within a team of autonomous agents, such as autonomous vehicles, that utilizes a self-simulator with faster than real-time processing to simulate the behaviors of each agent and optimize mission objectives.
Key Features and Innovation:
- Autonomous agent with a self-simulator for online simulation of behaviors.
- Faster than real-time processing environment for projecting behaviors forward.
- Selection of optimized action sets based on mission status metrics.
- Ability to recommend switching action sets for optimal completion of mission objectives.
Potential Applications: This technology can be applied in various autonomous systems, including autonomous vehicles, drones, and robotic systems, to enhance decision-making and optimize mission performance.
Problems Solved: This technology addresses the challenge of efficiently determining and executing optimal actions for autonomous agents within a team to achieve mission objectives effectively.
Benefits:
- Improved decision-making for autonomous agents.
- Enhanced mission performance and efficiency.
- Adaptability to changing mission conditions.
Commercial Applications: The technology can be utilized in industries such as transportation, logistics, defense, and surveillance for optimizing operations and enhancing overall efficiency.
Prior Art: Prior research in the field of autonomous systems and simulation technologies can provide insights into similar approaches to optimizing mission objectives for autonomous agents.
Frequently Updated Research: Stay updated on advancements in autonomous systems, simulation technologies, and artificial intelligence to further enhance the capabilities of autonomous agents within a team.
Questions about Autonomous Agents Optimization: 1. How does the self-simulator in autonomous agents contribute to optimizing mission objectives? 2. What are the potential challenges in implementing this technology in real-world autonomous systems?
Original Abstract Submitted
an autonomous agent of a team of autonomous agents (e.g., semi- or fully autonomous vehicles) includes a self-simulator incorporating a faster than real time (ftrt) processing environment for online simulation of each agent of the team. based on the current mission status and one or more action sets determining the behaviors of the autonomous agents, the behaviors of each agent of the team are projected forward within the ftrt environment to determine mission status metrics relevant to the effectiveness of a particular action set towards optimal completion of mission objectives currently assigned to the team. based on the mission status metrics, the self-simulator can select and provide an action set for optimized completion of mission objectives. for example, the self-simulator can recommend switching to a different preloaded action set or, in some cases, construct an optimized action set selected from multiple preloaded action sets tested in the ftrt environment.
