Issue 10 Volume 41 May 16, 2003

20030032478 InDyne, Inc., Cocoa Beach, FL, USA
Chronology of KSC and KSC Related Events for 2002
Liston, Elaine E.; February 2003; 85 pp.; In English
Report No.(s): NASA/TM-2003-211183; NAS 1.15:211183; No Copyright; Avail: CASI; A05, Hardcopy
This document is intended to serve as a record of KSC events and is a reference source for historians and other
researchers. Arrangement is by day and month and individual articles are attributed to published sources. Materials were
researched and described by the KSC Library Archivist for KSC Library Services Contractor, InDyne, Inc.
Author
Launch Vehicles; Space Shuttle Orbiters; Launching; Landing; Schedules; Payloads; Operations; Cape Kennedy Launch
Complex
20030033052 NASA Johnson Space Center, Houston, TX, USA
Expedition 7 Crew Training Clip
April 25, 2003; In English
Report No.(s): JSC-1939; No Copyright; Avail: CASI; B02, Videotape-Beta; V02, Videotape-VHS
This video shows the Expedition 7 crew of the International Space Station (ISS) during various training activities prior
to launch. The crew consisted of Commander Yuri Malenchenko and Flight Engineer Ed Lu. At the virtual reality lab, the two
astronauts work at a control panel, with Lu operating a joystick and speaking on earphones. Another section of the video shows
Lu and Malenchenko inputting data into laptop computers, Lu testing an intercom and a video camera, and Lu using a machine
to analyze blood samples from the crew. At the neutral buoyancy lab, the astronauts are helped in suit-up. The attachment of
their gloves is shown. The video ends with Lu and Malenchenko lowered into a pool on a platform.
CASI
International Space Station; Spacecrews; Virtual Reality; Neutral Buoyancy Simulation
20030034662 Massachusetts Univ., Amherst, MA, USA
Decision-Theoretic Control of Planetary Rovers
Zilberstein, Shlomo; Washington, Richard; Bernstein, Daniel S.; Mouaddib, Abdel-Illah; Morris, Robert, Technical Monitor;
[2003]; 19 pp.; In English; Original contains black and white illustrations
Contract(s)/Grant(s): NAG2-1463; Copyright; Avail: CASI; A03, Hardcopy
Planetary rovers are small unmanned vehicles equipped with cameras and a variety of sensors used for scientific
experiments. They must operate under tight constraints over such resources as operation time, power, storage capacity, and
communication bandwidth. Moreover, the limited computational resources of the rover limit the complexity of on-line
planning and scheduling. We describe two decision-theoretic approaches to maximize the productivity of planetary rovers: one
based on adaptive planning and the other on hierarchical reinforcement learning. Both approaches map the problem into a
Markov decision problem and attempt to solve a large part of the problem off-line, exploiting the structure of the plan and
independence between plan components. We examine the advantages and limitations of these techniques and their scalability.
Author
Roving Vehicles; Unmanned Ground Vehicles; Decision Theory; Markov Processes; Mathematical Models; Control Theory
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LAUNCH VEHICLES AND LAUNCH OPERATIONS
Includes all classes of launch vehicles, launch/space vehicle systems, and boosters; and launch operations. For related information see
also 18 Spacecraft Design, Testing and Performance; and 20 Spacecraft Propulsion and Power.
20030032947 Aerospace Corp., El Segundo, CA
The Removal of Silicone Contaminants from Spacecraft Hardware
Luey, K.; Coleman, D. J.; Sep 2002; 29 pp.; In English; Original contains color illustrations
Contract(s)/Grant(s): F04701-00-C-0009
Report No.(s): AD-A410311; TR-2002(8565)-6; No Copyright; Avail: CASI; A03, Hardcopy
Silicone compounds are found in a wide variety of aerospace applications and are thus frequently encountered in ground
processing accidents. Silicones are largely inert with respect to many chemical reactions, which make them highly desirable
as sealants, adhesives, and vacuum pumping fluids. However, this same property makes them difficult to remove. In the course
of several major accidents in the last five years, many cleaning approaches have been used. The most common approach has
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