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Featured researches published by Jason Lohn.


ieee antennas and propagation society international symposium | 2006

Evolutionary design of a phased array antenna element

Al Globus; Derek S. Linden; Jason Lohn

This paper presents an evolved S-band phased array antenna element design that meets the requirements of NASAs TDRS-C communications satellite scheduled for launch early next decade. The original specification called for two types of elements, one for receive only and one for transmit/receive. A single element design was evolved that meets both specifications thereby simplifying the antenna and reducing testing and integration costs. The highest performance antenna found using a genetic algorithm and stochastic hill-climbing has been fabricated and tested. Laboratory results are largely consistent with simulation


AIAA 1st Intelligent Systems Technical Conference | 2004

Teleoperated Modular Robots for Lunar Operations

Al Globus; Greg Hornby; Greg Larchev; Matt Hancher; Howard Cannon; Jason Lohn

Solar system exploration is currently carried out by special purpose robots exquisitely designed for the anticipated tasks. However, all contingencies for in situ resource utilization (ISRU), human habitat preparation, and exploration will be difficult to anticipate. Furthermore, developing the necessary special purpose mechanisms for deployment and other capabilities is difficult and error prone. For example, the Galileo high gain antenna never opened, severely restricting the quantity of data returned by the spacecraft. Also, deployment hardware is used only once. To address these problems, we are developing teleoperated modular robots for lunar missions, including operations in transit from Earth. Teleoperation of lunar systems from Earth involves a three second speed-of-light delay, but experiment suggests that interactive operations are feasible. Modular robots typically consist of many identical modules that pass power and data between them and can be reconfigured for different tasks providing great flexibility, inherent redundancy and graceful degradation as modules fail. Our design features a number of different hub, link, and joint modules to simplify the individual modules, lower structure cost, and provide specialized capabilities. Modular robots are well suited for space applications because of their extreme flexibility, inherent redundancy, high-density packing, and opportunities for mass production. Simple structural modules can be manufactured from lunar regolith in situ using molds or directed solar sintering. Software to direct and control modular robots is difficult to develop. We have used genetic algorithms to evolve both the morphology and control system for walking modular robots3 We are currently using evolvable system technology to evolve controllers for modular robots in the ISS glove box. Development of lunar modular robots will require software and physical simulators, including regolith simulation, to enable design and test of robot software and hardware, particularly automation software. Ready access to these simulators could provide opportunities for contest-driven development ala RoboCup (http://www.robocup.org/). Licensing of module designs could provide opportunities in the toy market and for spin-off applications.


AIAA 1st Intelligent Systems Technical Conference | 2004

Evolvable Hardware for Space Applications

Jason Lohn; Al Globus; Gregory Hornby; Gregory V. Larchev; William F. Kraus

This article surveys the research of the Evolvable Systems Group at NASA Ames Research Center. Over the past few years, our group has developed the ability to use evolutionary algorithms in a variety of NASA applications ranging from spacecraft antenna design, fault tolerance for programmable logic chips, atomic force eld parameter tting, analog circuit design, and earth observing satellite scheduling. In some of these applications, evolutionary algorithms match or improve on human performance. In this paper we discuss automated antenna design and self-repairing electronic chips.


innovative applications of artificial intelligence | 2004

A comparison of techniques for scheduling earth observing satellites

Al Globus; James Crawford; Jason Lohn; Anna Pryor


Archive | 2003

Scheduling Earth Observing Satellites with Evolutionary Algorithms

Al Globus; James Crawford; Jason Lohn; Anna Pryor


Archive | 2002

On Polymorphic Circuits and Their Design Using Evolutionary Algorithms

Adrian Stoica; Ricardo Salem Zebulum; Didier Keymeulen; Jason Lohn; Daniel Clancy


Archive | 2002

Scheduling Earth Observing Fleets Using Evolutionary Algorithms: Problem Description and Approach

Al Globus; James Crawford; Jason Lohn; Robert Morris; Daniel Clancy


Archive | 2003

Evolvable Systems for Space Applications

Jason Lohn; James Crawford; Al Globus; Gregory S. Hornby; William Kraus; Gregory V. Larchev; Anna Pryor; Deepak Srivastava


Archive | 2003

A Comparison of Techniques for Scheduling Fleets of Earth-Observing Satellites

Al Globus; James Crawford; Jason Lohn; Anna Pryor


Archive | 2011

Spatial Autocatalytic Dynamics: An Approach to Modeling Prebiotic Evolution

Gary L. Haith; Dimitris Stassinopoulos; Jeffrey Scargle; Silvano P. Colombano; T. K. Lee; Shoudan Liang; Jason Lohn

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Al Globus

Computer Sciences Corporation

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Derek S. Linden

Carnegie Mellon University

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Gregory Hornby

University of California

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Adrian Stoica

California Institute of Technology

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Didier Keymeulen

California Institute of Technology

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