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Day 19

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Today has been another routine day so far with more paper analysis, which is finally about to end as i am on the last paper. The paper i finished today detailed two methods of transporting an object via a multi-robotic system in which certain objectives are assigned to each robot, a very interesting paper with possible future applications to the transport of an object via interconnected nano-bots similar to what is seen in some Sci-Fy movies. The last paper is an unpublished currently under review version of the very project i'm currently working on, so when i finally analyze all of it i should be able to create a solid and confident Abstract, Structure, and Presentation. Problem is that i have absolutely no clue what some of the things the paper is taking about as the terms are not well defined in any literature. Kamran has already agreed to sit down with me and explain every single missing piece of information so that i can understand and connect everything. I have also found som...
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Updated Abstract

Joe, i suggest using this new abstract and the title as it is more representative of the final presentation. Modelling Human Hand-eye Coordination Using Machine Learning Titus Mickley Perform laboratory Advisors: Kamran Binaee, Rakshit Kothari, Gabriel J. Diaz We use our   visual system  to collect information of an environment, and perform an  action such as catching an object.  Currently machines do not have the same capabilities as humans when it comes to analyzing an environment and performing inside the environment  efficiently .  By recording participants head, hand, and eye position/orientation in a controlled virtual environment as the subjects repeatedly attempt to catch a  virtual  ball  with a real  paddle. A simulation of the virtual environment was created to convey the subjects data visually. A basic Reinforcement Learning algorithm is then created, allowing an agent to learn autonomously in a 3D ecosystem...
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Day 12

Today was the slowest day of them all. After arriving i attempted to edit my abstract to clean it up a bit, figuring out i was missing some crucial information to explain to a lay audience. Later i spent the majority of the day researching methods on how to implement the new code into the simulation to no avail. later in the day Aditi and i had a teleconference with Rakshit analysing data, he then told us to collect data on a non-biased individual, which was funny as 3 of our fellow interns arrived minutes before the instruction. Unfortunately only 1 session could be recorded as the left eye of the gaze tracker became dysfunctional for reasons unknown. The day was ended with a relaxing hour of testing VR games with most fellow interns, which helped me unwind the weeks fatigue. I will travel back to RIT on the weekend to hopefully finish all High School summer assignments and possibly mess around with more VR and DOOM modding if i can find the time.
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