Rebecca G. Miko

PhD Candidate who enables gas-based control in robotics, using computationally efficient neural networks

Articles


  • Wed 30 October 2024
  • phd

Trail-following Experiment

As part of my PhD, I created a spiking neural network capable of making directional decisions which leads a robot along paths of different shapes in a real-world environment. The robot performs fully autonomously, using only locally sourced olfactory data and no additional sensors. The SNN is in full control …

  • Fri 13 October 2023
  • phd

Gadient-based Algorithm for Gas-based Path Following

As part of my PhD research, I collected ground truth data to validate the spiking neural network (SNN) and to make adjustments when necessary. The robot was operated in teleoperation mode, controlled using a PS4 remote controller. During this process, I manually guided the robot forward, and when the sensors …




  • Wed 12 February 2020
  • phd

Roberto Braitenburg Vehicle Experiment

As part of my PhD, I conducted a proof-of-concept study. The purpose of the study was to assess the performance of a robot that integrated the deadband-sampling event-based processing method with the custom electronic nose (e-nose) and the one-dimensional Braitenberg-style control algorithm. Confronting live data in a real-world environment, facing …

  • Sun 24 November 2019
  • event

RoboCup 2019 Humanoid Kid Size League

As a new member of Bold Hearts, I had the privilege of participating in the RoboCup 2019 Humanoid Kid Size League in Sydney, Australia. The event was an exceptional and rewarding experience, offering a unique opportunity to engage with some of the brightest minds in robotics while collaborating with fellow …

  • Sun 01 September 2019
  • award

Best Poster Award at Engineering and Computer Science Conference

I’m excited to share that I won the Best Poster Award 2019 at the Engineering and Computer Science Conference for my work on brain-inspired spiking neural networks for gas-based navigation. This project is a significant step towards enhancing robotic navigation through neural networks and processes inspired by mammalian brains …


Winning the NEUROTECH Award at CapoCaccia Cognitive Neuromorphic Engineering Workshop

I’m excited to share that our team won the NEUROTECH Award 2019 for the best neuromorphic demo at the CapoCaccia Cognitive Neuromorphic Engineering Workshop! This prestigious award recognizes innovative work in neuromorphic engineering, and we’re honored to have been selected. Our Winning Demo: Event-Based Olfaction Our project focused …