Chibuike Okpaluba

London, UK
+44 (0)7955224137

I am a pro-active, passionate and confident Mechatronics Engineer with a strong understanding of robot design, automation, computer vision (with deep learning), and the internet of things.

With over three years of continuous experiences from various Mechatronics projects and a recently achieved Masters degree in Mechatronics, I offer a unique set of technical skills complemented with excellent communication, project management, and team working skills in conjunction with the highest ethics and professionalism, exceeding typical expectations in any role undertaken.

"I am currently open to any robotics R&D projects within in the UK"

Education

Middlesex University

MENG Mechatronics
Key Modules
  • Advanced Robotics and Mechatronics
  • CAD/CAM Design, Test and Manufacture
  • Control Systems
  • Engineering Work Ethics
  • Embedded Systems
  • Factory Automation (PLCs)
October 2015 - July 2019

The British Council

CIE AS & A Level
Components
  • Computer Science
  • Mathematics
  • Physics
May 2015 - July 2015

Experiences

Middlesex University

Student Learning Assistant
Roles
  • I work closely with lecturers, graduate assistants and members of the peer-assisted learning team to facilitate learning and enthusiasm, through informal educative methods and role modelling.
  • This role requires confidence, effective communication skills and the mandate to learn by active reflection.
July 2018 - Present

Middlesex University

Student Ambassador
Roles
  • I worked with the Academic Registry to ensure that new entrants to the University have completed an ID check.
  • This role required attention to detail, confidence, and effective communication skills.
Sep 2018

Middlesex University

Summer Placement - Science and Technology
Roles
  • While working as an intern at Middlesex University, I made a series tutorial videos for the ABB IRB 120
  • Use this link to watch the video series.
June 2018 - September 2018

Studio Waldemeyer

Design Assistant Intern
Roles (as part of a team)
  • Conceptualized prototype designs for a light stand used for an art exhibition in Toronto, Canada
  • Helped in deciding the optimal design to meet our given specifications
  • Experienced a typical product design cycle from within the industry, adhering to real-world design and cost requirements
September 2017
More ?

Foresight Crops

Android Devop Intern
Roles
  • I developed, tested and managed an android service app using Android Studio
  • I maintained a certain portion of the app's service backend using PHP and Python
June 2017 - Present

BrightSparks

Events Support Staff
Roles
  • I work with co-support staff to provide an excellent customer experience.
  • As a result, I have worked in a variety of prestigious venues around England including Wembley, Chelsea and Ascot.
June 2017 - Present

Projects

Eurobot 2019

About

Eurobot is an international robotics competition, in which enthusiast build mobile robots to autonomously complete a set of tasks within a given time. This competition takes place across several countries in Europe (e.g England and Serbia) with the in finals France.

Goals

Our goal is to design, build and program two ROS-enabled mobile robots to autonomously find and pick up ice-hockey pucks distributed around a given map. Visit www.eurobot.org to find out more about this competition.

Personal Contribution

I was tasked with interfacing the low-level hardware components with ROS, this includes the robot's end-effectors and drivetrain which uses Maxon's EPOS4 compact controllers. I was also responsible for the power supply and navigation systems embedded within the robots.

Skills Used

This project involved the following tools/skills:

ArtBoT

About

ArtBoT - an artist from the future

Experience magnificent, colourfully, jaw-dropping artworks from an autonomous AI robot. This project was done as a part of my 3rd-year design project at Middlesex University London. Visit the link to find out more.

Goals

The aim of this project was to design and build a pen-holding end-effector for the ABB IRB 120 and to set up an interactive system that showcases some of the key features of the end-effector to the public.

Personal Contribution

I designed an end-effector for the ABB IRB 120 which used a self-centring chuck mechanism to hold a pen with the right proportions. To demonstrate the end-effector, I designed a system that allowed users to have their portraits automatically processes and drawn by the robot using the end-effector.

Skills Used

This project involved the following tools/skills:

Deep Brain Stimulation

About

Demonstrating the regulation of Deep brain stimulation using real-time feedback from external sensors.

Patients with neurodegenerative disorders often suffer from movement disorders such as dystonia, tremor and Parkinson's. Deep brain stimulation is often used to treat the symptoms caused; by changing some of the electrical signals in the brain using electrodes to provide targeted high-frequency stimulation.

Goals

Adaptive deep brain stimulation aims to control the intensity of the pulse generated by the pacemaker, which is normally connected to the electrodes.

In this project, we aim to demonstrate the regulation of deep brain stimulation by designing and building sensor nodes to provide real-time feedback on selected DBS parameters which will be analyzed and used to control a virtual DBS pulse generator.

Personal Contribution

I have been tasked with designing a waist mounted sensor node to measure posture and balance using an inertial measuring unit. The information gathered by this sensor node will be used to determine the user's activity (e.g. walking, running, etc.).

Skills Used

This project involved the following tools/skills:

Card Recognition with Baxter

About

Baxter is a robot manipulator built by Rethink Robotics which is used for simple industrial tasks and research.

Goals

The goal of this project was to write a program that allowed Baxter to interact with objects in its visual and manipulation workspace using its eye-in-hand camera and a parallel gripper.

Personal Contribution

I presented a system in which Baxter could accurately detect a card bin with four playing cards, using its camera and a few aruco markers placed on the card bin. I used deep learning to recognize the suit of the cards in the card bin, with a LeNet model providing the best result.

Skills Used

This project involved the following tools/skills:

More ?

Awards

Sky Hackathon 2018

First Place

IMechE Design Challenge 2017

Regional Finals (London)

Third Place 😭

Thank You

To find out more
For questions, reference request and or complaints
  • You can send me an email using this link