California Institute of Technology

Iam Sports & Entertainment

Eleftherios E Gdoutos

Sergio Pellegrino

Seyed Ali Hajimiri

Harry A Atwater

Raymond Joseph Brothers

Adam Mulliken

John Pye

Antonio Pedivellano

Austin Fikes

Emily C Warmann

Michael D Kelzenberg

Ali Naqavi

Oren Mizrahi

Christophe Leclerc

Alan Truong

Samuel Loke

Tatiana Vinogradova

Tatiana Roy

Alexander Messer

Jing Shun Huang

Fabien A Royer

Fabian Wiesemuller

A self-deployable antenna and/or antenna array that is made up of one or more antenna elements. Each of the antenna elements has a structural base that supports portions of the antenna and can be positioned between a stored configuration for compaction and a deployed configuration for transmitting. The antenna elements and structural base can be part of a base substrate that provides a base support for the antenna and/or antenna array to be compacted and deployed.

Self-deployable antenna

Systems and methods in accordance with various embodiments of the invention provide a photovoltaic concentrator tile for a space-based solar power (SBSP) system including constituent components thereof. In a number of embodiments, the photovoltaic concentrator tile include a one photovoltaic cell, a reflector, a power transmitter and circuitry configured to perform a variety of control functions. Embodiments also provide compactible structures, materials for improving thermal emissivity, and methods and mechanisms for manufacturing and using these components.

Ultralight photovoltaic power generation tiles

An actively controlled deployment mechanism with a plurality of centrally controlled rollers as well as outer rollers that are configured to apply a pressure across the compactable portion of the deployable structure. The active control can be implemented though control motors and control loops programed to control the rotation of the rollers. Additionally, the actively controlled deployment reduces the need for bulky and heavy booms with high tension guide wires for the deployment of the structure.

Actively controlled spacecraft deployment mechanism

Multi-functional coilable thin-walled structures that can be implemented within space-based satellite modules, and methods for their manufacture are provided. Multi-functional coilable thin-walled structures are comprised of at least one longeron that is capable of rolling and collapsing upon itself. In some embodiments, the coilable thin-walled longeron is a flange longeron. The flange longeron contains at least two major regions: a web and a plurality of flanges. The web region comprises portions of flanges that are bonded to one another. The plurality of flanges separate from one another on the same end of the web region. The plurality of flanges are similar in thickness and shape.

Coilable thin-walled longerons and coilable structures implementing longerons and methods for their manufacture and coiling

In one embodiment, a method includes receiving, from one or more sensors, biomechanical data of a first user performing a plurality of actions of a first action-type and outcome data of a plurality of outcomes corresponding to the respective plurality of actions. A plurality of sets of action-parameter values may be determined based on the received biomechanical data, where each of the sets of action-parameter values corresponds to a respective action of the plurality of actions. An athletic-performance model of the first user may be generated based on the plurality of sets of action-parameter values. The athletic-performance model may be a statistical model including probabilities computed with respect to the sets of action-parameter values and the outcome data.

Creating personalized athletic-performance models

In one embodiment, a method includes accessing an athletic-performance model of a first user, where the model is based on a plurality of sets of action-parameter values of action parameters of the first user. The action-parameter values may be determined based on biomechanical data of the first user performing a plurality of actions of a first action-type and outcome data of each action. A current skill level of the first user may be determined based on a measure of variances associated with action parameters of the first action-type. Target ranges of action-parameter values may be calculated for action parameters based on the athletic-performance model. Each target range may be based on a measure of probability with respect to the particular action parameters and the outcome data. A report of athletic-performance feedback may be generated and may include current skill level information and the target ranges of action-parameter values.

Monitoring performance and generating feedback with athletic-performance models

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Pasadena, CA, United States of America

Eleftherios E Gdoutos