Describe some of the problems over-reliance on cars can cause and suggest a possible solution.

My name is Arthicha Srisuchinnawong. I have just completed my bachelor's degree in robotics and automation engineering from Institute of FIeld
roBOtics
the area of AI concerned with the practical use of robots
robotics
(FIBO), King Mongkut's University of Technology Thonburi (KMUTT), Bangkok, Thailand. I am very interested in studying robotics and intelligent system program at UiO (start in August, 2020) and jointing ROBIN or RITMO
research
group. I am writing here to inquire about my opportunity to participate in
this
program and one of these
research
teams as well as to discuss my possible
research
projects. After I spend my time reading your previous publications, I can think of several
research
opportunities that I might assist your
research
team. I would appreciate if we can discuss about them and it would really help me to decide about my future study. Anyway, I am open to a variety of projects apart from the ones listed below. I have conducted a study on adaptive locomotion of a gecko robot (climbing robot) using a central pattern generator (CPG). It is extremely hard to select those parameters manually since the motor signals should be well designed unless it will slip and fall down the climbing surface. So, I think that using a CPG along with a compositional pattern-producing network (CPPN) and optimized those parameters with genetic algorithm [1] could deal with
this
issue. I
also
interested in applying
this
concept
on a robot with sensory feedback [2] to overcome either external environment
such
as different types of surfaces or internal changes [3]. According to [2,4], reality gap is the major problem in evolutionary robotics. I faced
this
kind of problem when I was working on recognition of captured images using convolutional neural network (CNN) trained with synthetic images [5]. I do believe that we can apply some pre-processing technique that narrow the reality gap down and it sounds exciting to verify
this
concept
with evolutionary robotics. As far as I am concerned, another solution to the problem mentioned in (2.)
is
Suggestion
Is
to perform evolution and learning with different type of environment (stiffness, friction, etc.)
before
Suggestion
Before
transferring to
real world
Suggestion
the real world
.
This
concept
was inspired by [6]. According to [7], another trouble is that the initial population is poor (I understand that
this
means those receive
low fitness score
Suggestion
a low fitness score
low fitness scores
and lack of diversity). I think that
this
might be solved
with
Suggestion
by
a
concept
of an advantage [6] (measuring fitness score with respect to average fitness scores calculating from previous generations). I
also
would like to use an artificial hormone [8] to determine the mutation rate (similar to the way stress leads to mutation and cancer). Perhaps,
this
might be a novel approach inspired by nature and
this
could help us to discover more about
relationship
Suggestion
the relationship
between mutation and hormone. Apart from the
research
, I would like to know more about studying at UiO. I wish to attend lectures and do
research
simultaneously. Is
this
possible?
In addition
, as budget is one of my major concerns, I found that there is no tuition fees, only semester fees needed for international students. Is
this
true?
and
Suggestion
And
Is there any opportunities for a master student to get some funding (
such
as
research
funding,
research
assistant, teaching assistant and scholarship)? For more information, I have attached my resume, transcript of record and statement of purpose.
Finally
, thanks for your time, and I hope to hear from you soon!

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