Edwin Anarcaya Roca Email & Phone Number

Sheffield, England, United Kingdom

As a Research Engineer at the Advanced Manufacturing Research Centre (AMRC), I specialise in cutting-edge technologies such as Machine Learning, working to address critical challenges in the manufacturing industry. My focus is on developing novel techniques to detect defects in manufacturing processes using images and classifying them accurately. I also work on enhancing robot accuracy using Machine Learning approaches.In my role, I have experience in applying Machine Learning methods for image classification, object detection, keypoint detection, and instance segmentation. Additionally, I have implemented Reinforcement Learning techniques for industrial robotics, further advancing my skills in this field.One of my key responsibilities is to collaborate with start-up companies and clients associated with the AMRC in the UK, to produce innovative solutions that are tailor-made for their specific requirements. I am passionate about exploring the possibilities of Machine Learning and using my expertise to improve the efficiency and productivity of manufacturing processes.

Newcastle Upon Tyne, United Kingdom

• Successfully designed and tested an underwater positioning system interfacing with Matlab in real-time. • Developed a graphic user interface application to visualise a real time underwater positioning with App-Designer (Matlab). • Designed and built (using LTspice) a band-pass filter to be integrated as part of a hydrophone. • Represented Newcastle University at an AUV test with project partners EcoSub Robotics Ltd and Planet Ocean Ltd.

Newcastle Upon Tyne, United Kingdom

Successfully designed and developed a control algorithm for an Autonomous Underwater Vehicle (AUV), using an ARM microcontroller, an LBL positioning system with three deployed baseline transponders and an Inertial Measurement Unit (IMU) for course control.

Stocksfield, Northumberland, Uk

Used Inventor software to design and print 3D mechanical parts for a prototype drone deterrent. Undertook research into high power contactors and relays for use in a new product.

Newcastle Upon Tyne, United Kingdom

Successfully delivered a project to balance a ball in a fixed position and make it track a desired pathway on a 2DOF flat plate. This involved implementing a proportional and velocity controller using Simulink (Matlab).

Newcastle Upon Tyne, United Kingdom

Built a buggy to complete as many laps as possible in 75 seconds on a fixed track, using an inductor sensor to detect the magnetic field produced by a wire underneath the track. This involved:• Building the motor drive circuit and a sensor to detect the magnetic field• Writing a simple but robust PID algorithm to control the buggy at speed using an ARM micro-controller.This project was successful and as a result my team won the competition for completing the most laps in 75 seconds.

Stocksfield, Northumberland, Uk

Project 1: Worked on a drone location and ‘proof of concept’ tracking system which involved:• Setting up the I/O connections for two GPS receivers and a long-range laser sensor with a micro-controller• Writing a program in C# to read data from a GPS receiver and laser range finder• Developing a graphic user interface to visualise target location as latitude and longitude with Google maps • Implementing an IMU as feedback to control a gimbal’s position - used as part of a tracking system.Project 2: Built and tested small analogue electronic circuits using Multisim (e.g. squibs detonator circuit, PID electronic circuit, oscillator circuit etc.)

Newcastle Upon Tyne, United Kingdom

• Constructed a sound amplifier, a sound level meter using a PIC microcontroller, a radio transmitter and a virtual time watch using assembly language.• Used an ARM microcontroller to control four brushless motors, using feedback from an IMU to control the speed of four brushless DC motors in a quadcopter.

Msc Robotics, Engineering

Bachelor Of Engineering - Honours In Automation And Control, Electrical And Electronics Engineering, Second Class (Division I)