Ono: an open platform for social robotics

In recent times, the focal point of research in robotics has shifted from industrial ro- bots toward robots that interact with humans in an intuitive and safe manner. This evolution has resulted in the subfield of social robotics, which pertains to robots that function in a human environment and that can communicate with humans in an int- uitive way, e.g. with facial expressions. Social robots have the potential to impact many different aspects of our lives, but one particularly promising application is the use of robots in therapy, such as the treatment of children with autism. Unfortunately, many of the existing social robots are neither suited for practical use in therapy nor for large scale studies, mainly because they are expensive, one-of-a-kind robots that are hard to modify to suit a specific need. We created Ono, a social robotics platform, to tackle these issues. Ono is composed entirely from off-the-shelf components and cheap materials, and can be built at a local FabLab at the fraction of the cost of other robots. Ono is also entirely open source and the modular design further encourages modification and reuse of parts of the platform

An Exploratory Case Study of Information-Sharing and Collaboration within Air Force Supply Chain Management

This research sought to identify key elements of the Air Force supply chain as it relates to industry, determine how techniques of information-sharing and collaboration are used to make Air Force Supply Chain decisions, and examine how the resulting impacts on operational readiness may be measured. A multiple case study research design was used to investigate the application of information-sharing and collaboration in two distinct Air Force supply chains. Cross-case comparative analysis of the supply chains supporting the PTO shafts on the F-15 engine and the T-38 engine evaluated each supply chain\u27s characteristics and levels of information-sharing and collaboration. The research highlighted one example of proactive sharing of information and collaborative decision-making to avoid supply chain inefficiencies, and one example of using information-sharing to recover from a decision made without using a collaborative approach. Specifically, the research identified that proactive sharing of information and collaborative decision-making for the T-38 avoided supply chain failures, while the F-15 supply chain was reactive, failing to collaborate or share information, resulting in a failure of the supply chain and an increase in the MICAP rate. The F-15 community used information-sharing to recover from this failure. The culmination of this effort provided insight into the interactions and complexities of the Air Force supply chain and highlighted a need for a more thorough evaluation of the impact of supply chain relationships, information-sharing, and collaborative decision-making on operational readiness

Space transportation system and associated payloads: Glossary, acronyms, and abbreviations

A collection of some of the acronyms and abbreviations now in everyday use in the shuttle world is presented. It is a combination of lists that were prepared at Marshall Space Flight Center and Kennedy and Johnson Space Centers, places where intensive shuttle activities are being carried out. This list is intended as a guide or reference and should not be considered to have the status and sanction of a dictionary

Feasibility study of an Integrated Program for Aerospace vehicle Design (IPAD). Volume 2: The design process

The extent to which IPAD is to support the design process is identified. Case studies of representative aerospace products were developed as models to characterize the design process and to provide design requirements for the IPAD computing system

Advances in Robotics, Automation and Control

The book presents an excellent overview of the recent developments in the different areas of Robotics, Automation and Control. Through its 24 chapters, this book presents topics related to control and robot design; it also introduces new mathematical tools and techniques devoted to improve the system modeling and control. An important point is the use of rational agents and heuristic techniques to cope with the computational complexity required for controlling complex systems. Through this book, we also find navigation and vision algorithms, automatic handwritten comprehension and speech recognition systems that will be included in the next generation of productive systems developed by man