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!