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Hi! My name is Christopher. I am a roboticist and cybernetician focused on creating cognitive space robotics. I am currently a Doctorate of Engineering in Aeronautics and Astronautics candidate at the University of Tokyo, Artificial Intelligence Lab. Furthermore, I am working on system/software architecture and autonomous agent path planning for Upper Class E Traffic Management (ETM) spacecraft at NASA Ames (Code: ARC AFT). Previously, I worked with several space groups including the European Space Agency, the Austrian Space Forum, EPFL, and the Space Generation Advisory Council to bring high-tech solutions to complex problems. I specialize in systems engineering and systems architecting domain for artificial intelligence, machine learning, and control systems for space robotics. Thank you for your interest!

I have developed MBSE architecture frameworks for ESA, Volvo, and Siemens. For CERN, I have developed extensive APIs for handling petabytes of data. Most of my projects focus on future-oriented technologies. For example, the CERN SHiP experiment in 2026, ESA's Deep Space (Copernicus and beyond) in 2030-2040, Space Suits for 2024+, and NASA ETM for 2030+. My most intensive contributions have been by combining Generative Engineering and Concurrent Engineering for space system applications development for Phase 0/A missions at Siemens. Finally, I am concurrently designing automatic deconfliction algorithms for aircraft in Upper-Class E Airspace.

Gist:

🌎 International & Multidisciplinary

🚀 Space Mission Planning & Architectures

🤖 Cognitive Robotics & Artificial Agents

🕹️ Human-Robot Interaction & Human Factors (Game Design)



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Christopher Ohara's Projects

actionai icon actionai

custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

aima3 icon aima3

Artificial Intelligence: A Modern Approach, Python 3 code

aind-asl_recognizer icon aind-asl_recognizer

Built a system that can recognize words communicated using the American Sign Language (ASL). Trained a set of Hidden Markov Models (HMMs) using part of a preprocessed dataset of tracked hand and nose positions extracted from video to try and identify individual words from test sequences. Experimented with model selection techniques including BIC, DIC, and K-fold Cross Validation.

aind-forward-planning_agent icon aind-forward-planning_agent

Implementation of a Forward-Planning Agent for Udacity's Artificial Intelligence Nanodegree (v3.0). This project is the solution for the notebook from the classroom (topic: Classical Planning).

aind-isolation icon aind-isolation

Created an AI that beats human opponents in the game of Isolation using Minimax, Alpha-Beta Search, and Iterative Deepening.

aind-planning icon aind-planning

Used logic and planning techniques to create an AI that finds the most efficient route to route cargo around the world to their respective destinations. This project used a combination of propositional logic and search along with A* heuristics to find optimal planning solutions. Planning and scheduling systems power automation and logistics operations, and aerospace applications like the Hubble telescope and NASA Mars rovers.

aind-sudoku icon aind-sudoku

Created an AI to solve Diagonal Sudokus using constraint propagation and search techniques. Additionally, taught the agent to use the Naked Twins advanced Sudoku strategy.

aipm-xray_images-automl icon aipm-xray_images-automl

AI for Product Managers Nanodegree Alpha/Beta - Classifying x-ray images from a dataset using AutoML

apollo icon apollo

An open autonomous driving platform

asml-wafer_stepper icon asml-wafer_stepper

This project was for a course at TU/e called System Validation. The goal was to create an architecture with parallel components and use formal model checking to evaluate the model. The use case is a simplified EUV wafer stepper from ASML.

blogs icon blogs

Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

blufinder icon blufinder

Designed, manufactured, and sold a unique USB flash drive capable of notifying the user whenever they forgot their device. Compatible with Android.

bosrepo icon bosrepo

Thesis 'Interactive demo on the indoor localization, control and navigation of drones'

cansat icon cansat

CanSat Satellite Design Project at TU Berlin. The goal was to make a CanSat capable of downlinking telemetry data (from IMU, temperature, pressure, etc.) to a remote ground station. Upon landing, the satellite also works as an exploratory rover and must detach it's parachute and drive a minimum of 5m while still reporting sensor data.

cvnd-notebooks icon cvnd-notebooks

Jupyter Notebooks for implementing projects in the Computer Vision Nanodegree

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