Robotic Intelligent Antenna with AI-Driven Geometry Transformation

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Solution Overview

Problem

Reconfigurable antennas face challenges in dynamically adapting to environmental and signal changes in satellite communications and hostile environments, requiring enhanced responsiveness and optimization capabilities.

Innovation Solution

The integration of robotic mechanisms and artificial intelligence (AI) to dynamically transform the antenna's geometry and performance, using soft robotics and AI-guided actuation to optimize frequency, pattern, gain, bandwidth, and polarization, and implement intelligent beamforming.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If robotic mechanisms and AI are integrated to dynamically transform antenna geometry, then adaptability and responsiveness to environmental changes are improved, but device complexity increases

Engineering Contradiction:

ImproveadaptabilityVSAvoidcomplexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The antenna structure is transformed from a static configuration to a dynamic one using robotic mechanisms that can actively change the geometry of antenna elements, reflectors, and feeds in real-time to adapt to environmental conditions and signal requirements

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

An AI system continuously monitors environmental parameters and signal characteristics, then provides feedback control to the robotic mechanisms to dynamically adjust antenna geometry for optimal performance in changing conditions

Inventive Principle:

Principle #23Feedback

Solution Approach 3:

The robotic antenna system integrates multiple functions including structural transformation, signal transmission, environmental sensing, and AI-based decision making into a single multi-functional platform that can adapt to various operational scenarios

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Ease of operation

If soft robotic actuators are used to transform antenna geometry, then ease of operation and reconfigurability are improved, but manufacturing precision and structural stability may worsen

Engineering Contradiction:

ImprovereconfigurabilityVSAvoidprecision

Core Design Contradiction:

Ease of operationVSManufacturing precision

Solution Approach 1:

Soft robotic actuators made from flexible materials are integrated into the antenna structure, allowing the rigid antenna elements to be transformed through the action of compliant actuators that can be precisely controlled despite their flexible nature

Inventive Principle:

Principle #30Flexible shells and thin films

Solution Approach 2:

Traditional rigid mechanical transformation mechanisms are replaced with soft robotic actuators that use pneumatic, hydraulic, or muscular mechanisms to achieve geometry changes, providing smoother and more controllable transformations

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS10680326B2Robotic intelligent antennas

Publication Date: 2020.06.09 FLORIDA INTERNATIONAL UNIVERSITY

AI summary

A device for an intelligent robotic antenna is provided. The intelligent robot antenna can comprise a substrate made from a compliant material, a conductive antenna element disposed on the substrate, a sensor that sense environmental conditions around the antenna, an actuator that transforms the antenna, and artificial intelligence software that can determine an optimal structural geometry of the antenna based upon the environmental characteristics surrounding the antenna, and direct the actuator to transform the structural geometry of the antenna to an optimal structural geometry.