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Dive into the research topics where Barry L. Spletzer is active.

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Featured researches published by Barry L. Spletzer.


Unmanned ground vehicle technology. Conference | 2003

Long-range hopping mobility platform

Gary J. Fischer; Barry L. Spletzer

Sandia National Laboratories has developed a mesoscale hopping mobility platform (Hopper) to overcome the longstanding problems of mobility and power in small scale unmanned vehicles. The system provides mobility in situations such as negotiating tall obstacles and rough terrain that are prohibitive for other small ground base vehicles. The Defense Advanced Research Projects Administration (DARPA) provided the funding for the Hopper project.


international conference on robotics and automation | 1997

Freeform fabrication of polymer-matrix composite structures

Stephen G. Kaufman; Barry L. Spletzer; Tommy L. Guess

We have developed, prototyped, and demonstrated the feasibility of a novel robotic technique for rapid fabrication of composite structures. Its chief innovation is that, unlike all other available fabrication methods, it does not require a mold. Instead, the structure is built patch by patch, using a rapidly reconfigurable forming surface, and a robot to position the evolving part. Both of these components are programmable, so only the control software needs to be changed to produce a new shape. Hence it should be possible to automatically program the system to produce a shape directly from an electronic model of it. It is therefore likely that the method will enable faster and less expensive fabrication of composites.


Archive | 2007

Advanced robot locomotion.

Jason C. Neely; Beverly R. Sturgis; Raymond H. Byrne; John T. Feddema; Barry L. Spletzer; Scott E. Rose; David Keith Novick; David G. Wilson; Stephen P. Buerger

This report contains the results of a research effort on advanced robot locomotion. The majority of this work focuses on walking robots. Walking robot applications include delivery of special payloads to unique locations that require human locomotion to exo-skeleton human assistance applications. A walking robot could step over obstacles and move through narrow openings that a wheeled or tracked vehicle could not overcome. It could pick up and manipulate objects in ways that a standard robot gripper could not. Most importantly, a walking robot would be able to rapidly perform these tasks through an intuitive user interface that mimics natural human motion. The largest obstacle arises in emulating stability and balance control naturally present in humans but needed for bipedal locomotion in a robot. A tracked robot is bulky and limited, but a wide wheel base assures passive stability. Human bipedal motion is so common that it is taken for granted, but bipedal motion requires active balance and stability control for which the analysis is non-trivial. This report contains an extensive literature study on the state-of-the-art of legged robotics, and it additionally provides the analysis, simulation, and hardware verification of two variants of a proto-type leg design.


SPIE's Unattended Crowd Sensor Technologies and Applications, Orlando, FL (US), 04/08/1999--04/09/1999 | 1999

Probability of Detection for Cooperative Sensor Systems

John T. Feddema; Barry L. Spletzer

In this paper, we quantify how communication increases the effective range of detection of unattended ground sensors. Statistical analysis is used to evaluate the probability of detection for multiple sensors using one, two, and infinite levels of cooperation. Levels of cooperation are defined as the levels of communication between sensors. One level of cooperation means that one sensor passes its state information to several other sensors within a limited communication range, but this information is not passed beyond this range. Two levels of cooperation means that the state information received by this first set of sensors is relayed to another set of sensors within their communication range. Infinite levels of cooperation means that the state information is further percolated out to all sensors within a communicating group. With large numbers of sensors, every sensor will have state information about every other sensor regardless of communication range. With smaller numbers of sensors, isolated groups may form, thus lowering the probability of information transfer.


Archive | 2006

Micro electro-mechanical system (MEMS) pressure sensor for footwear

Deepesh K. Kholwadwala; Brandon Rohrer; Barry L. Spletzer; Paul C. Galambos; Jason W. Wheeler; Clinton G. Hobart; Richard C. Givler


Archive | 2001

Method and apparatus for extracting water from air

Barry L. Spletzer; Diane Schafer Callow; Lisa C. Marron; Jonathan Robert Salton


Archive | 2000

Method and apparatus for determining fat content of tissue

Thomas M. Weber; Barry L. Spletzer; Jon R. Bryan; Fred M. Dickey; Richard N. Shagam; Luc Gooris


Archive | 2001

Method and apparatus for extracting water from air using a desiccant

Barry L. Spletzer; Diane Schafer Callow


Archive | 2001

Steerable vertical to horizontal energy transducer for mobile robots

Barry L. Spletzer; Gary J. Fischer; John T. Feddema


Archive | 2005

Load cell having strain gauges of arbitrary location

Barry L. Spletzer

Collaboration


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Gary J. Fischer

Sandia National Laboratories

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John T. Feddema

Sandia National Laboratories

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Lisa C. Marron

Sandia National Laboratories

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Diane Schafer Callow

Sandia National Laboratories

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Michael Kuehl

Sandia National Laboratories

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Stephen P. Buerger

Sandia National Laboratories

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James F. Jones

Sandia National Laboratories

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Michael A. Martinez

Sandia National Laboratories

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Stephen G. Kaufman

Sandia National Laboratories

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