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ENHANCING THE HUMAN-TEAM
AWARENESS OF A ROBOT


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1 Introduction



In recent years there has been a shift towards using robots in operations that are
considered too dangerous or even physically impossible for humans to complete.
For instance, in the oil disaster in the Gulf of Mexico in 2010, underwater robots
were used to assess and finally stop the oil leak at a depth of nearly 1500 meters
[37]. Many of today's robots are remotely controlled and are therefore relatively
expensive to operate due to the cost of training operators as well as paying their
salaries. Furthermore, when robots are used in situations such as military operations
that are considered stressful, the human operator may act too slowly, or even worse
irrationally, which would reduce robot's effectiveness [50, 18]. Hence, a lot of
research has been conducted towards creating autonomous robots that can perceive
and act in the environment by itself [29, 38].



Synergy of research domains is required


It is very challenging to equip a robot with the ability to understand intangible
behaviors since it requires a synergy of knowledge from different research
domains. The problem solving involves everything from medical domains,
such as psychology and physiology, to technical domains, such as sensor
networks and machine learning.


• Development of an adequate SD model


To solve the classification of intangible behaviors of humans and human
teams we utilize a SD model. There is a great lack of detailed and presented
SD models of human behaviors which makes it hard to establish an adequate
model. Most of the existing models are merely concepts of human intangible
behaviors and have no implementation. In this thesis, as much knowledge as



physical rehabilitation


By utilizing a WBAN equipped with motion sensors it is possible to achieve a better
physical rehabilitation at lower cost. In [28] a WBAN approach was used to detect
and classify limb activities in an arm rehabilitation scenario.
Training professional athletes
In [54] WBAN is used to provide coaches and their athletes with training data which
they can analyze. By looking at recorded data it is possible to follow and control the
development of the athlete and ultimately enhance his or her performance. Another
research [69] implements a WBAN to enhance the performance of rowing athletes.



The Stock and Flow Concept


When dealing with levels of something in a dynamic system the approach is to
use a Stock and Flow Concept. A Stock and Flow diagram (SFD) distinguish the
causal relationship of levels, rates and constants which a causal diagram does not
distinguish. The Idea is to define some of the components as stocks. These stocks
contains a level of something and can increase or decrease depending on the flow
in and out. An excellent example containing such stock with in and outflow is
the population example mentioned in the previous section. The level of people is
regulated through the number of births (the inflow) and the number of deaths (the
outflow). The number of births and deaths are regulated through the birth and death
rate respectively. The Stock and Flow representation of the population example is
shown in Figure 29.