AFFTC overview of orbiter-reentry flight-test results

The Air Force Flight Test Center (AFFTC) has been participating in the flight testing of the Space Shuttle since 1976. An independent assessment of the reentry and landing capabilities of the Orbiter was conducted with respect to Department of Defense (DOD) missions. This activity is on-going and reports have been published after each flight. AFFTC participation in this conference is not directly related to the DOD assessment activity, however, and the views presented by myself and other AFFTC authors discuss the technical aspects of testing and the technology emanating from these tests

X-15 Contributions to the X-30

Some of the less publicized flight test results from the X-15 program that might relate to sustained high-speed flight in the atmosphere are presented. The topics covered include: (1) energy management and range considerations; (2) the advantages of pilot-in-the-loop and redundant-emergency systems; (3) a summary of some of the aerodynamic heating problems that were encountered; and (4) some comments on the advantages of an early flight test program and gradual expansion of the flight envelope

On the Convergence of Techniques that Improve Value Iteration

Prioritisation of Bellman backups or updating only a small subset of actions represent important techniques for speeding up planning in MDPs. The recent literature showed new efficient approaches which exploit these directions. Backward value iteration and backing up only the best actions were shown to lead to a significant reduction of the planning time. This paper conducts a theoretical and empirical analysis of these techniques and shows new important proofs. In particular, (1) it identifies weaker requirements for the convergence of backups based on best actions only, (2) a new method for evaluation of the Bellman error is shown for the update that updates one best action once, (3) it presents the theoretical proof of backward value iteration and establishes required initialisation, (4) and shows that the default state ordering of backups in standard value iteration can significantly influence its performance. Additionally, (5) the existing literature did not compare these methods, either empirically or analytically, against policy iteration. The rigorous empirical and novel theoretical parts of the paper reveal important associations and allow drawing guidelines on which type of value or policy iteration is suitable for a given domain. Finally, our chief message is that standard value iteration can be made far more efficient by simple modifications shown in the paper

Alessandro Valignano and the Restructuring of the Jesuit Mission in Japan, 1579-1582

When Alessandro Valignano arrived in Japan in 1579, the Society of Jesus had been working in the country for thirty years. However, despite impressive numbers and considerable influence with the feudal lords, the mission was struggling. The few Jesuit workers were exhausted and growing increasingly frustrated by the leadership of Francisco Cabral, who refused to cater to Japanese sensibilities or respect the Japanese people. When Valignano arrived, he saw the harm Cabral was doing and forcibly changed the direction of the mission, pursuing policies of Jesuit accommodation to Japanese culture and respect for the Japanese converts who were training to become priests. These policies were based in respect for Japan’s culture and love for its people. Under three years of Valignano’s leadership the fortunes of the Jesuit mission changed and the Society’s work in Japan began to flourish once again. Indeed, Valignano set the course for the next thirty years of the Japanese mission

A model for a space shuttle safing and failure-detection expert

The safing and failure-detection expert (SAFE) is a prototype for a malfunction detection, diagnosis, and safing system for the atmospheric revitalization subsystem (ARS) in the Space Shuttle orbiter. SAFE, whose knowledge was extracted from expert-provided heuristics and documented procedures, automatically manages all phases of failure handling: detection, diagnosis, testing procedures, and recovery instructions. The SAFE architecture allows it to handle correctly sensor failures and multiple malfunctions. Since SAFE is highly interactive, it was used as a test bed for the evaluation of various advanced human-computer interface (HCI) techniques. The use of such expert systems in the next generation of space vehicles would increase their reliability and autonomy to levels not achievable before

Isomorph-Free Branch and Bound Search for Finite State Controllers

The recent proliferation of smart-phones and other wearable devices has lead to a surge of new mobile applications. Partially observable Markov decision processes provide a natural framework to design applications that continuously make decisions based on noisy sensor measurements. However, given the limited battery life, there is a need to minimize the amount of online computation. This can be achieved by compiling a policy into a finite state controller since there is no need for belief monitoring or online search. In this paper, we propose a new branch and bound technique to search for a good controller. In contrast to many existing algorithms for controllers, our search technique is not subject to local optima. We also show how to reduce the amount of search by avoiding the enumeration of isomorphic controllers and by taking advantage of suitable upper and lower bounds. The approach is demonstrated on several benchmark problems as well as a smart-phone application to assist persons with Alzheimer's to wayfind