Marvin Chancán

mchancanl at uni.pe

I am completing a Ph.D. in Electrical Engineering and Robotics at Queensland University of Technology (QUT), Australia, advised by Prof. Michael Milford.

Previously, I received an M.Sc. in Mechatronics Systems from PUC-Rio and a B.Sc. in Mechatronics Engineering (1st in my class) from UNI. I also worked in the automation and IT industries for over 6 years in several countries of the Americas and Europe.

profile photo

Google Scholar             GitHub             LinkedIn             YouTube

Research

During my PhD, I focused on the intersection between deep learning, computer vision, neuroscience, and reinforcement learning with the aim of developing faster learning algorithms and techniques for localization and navigation tasks in mobile robots and autonomous vehicles. Specifically, I studied neural-level network architectures that underlie these complex tasks in insects (e.g. Drosophila melanogaster) and rat mammalian brains, and developed new neural network models that were found to be orders of magnitude faster and smaller than state-of-the-art deep learning systems.

News

Publications

         
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
Marvin Chancán, Michael Milford
Machine Learning for Autonomous Driving Workshop at the 34th Conference on Neural Information Processing Systems (NeurIPS 2020)
Project page | Video | Code
Robot Perception enables Complex Navigation Behavior via Self-Supervised Learning
Marvin Chancán, Michael Milford
Self-Supervised Robot Learning Workshop at the Robotics: Science and Systems XVI (RSS 2020)
Project page | Video | ArXiv
CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning
Marvin Chancán, Michael Milford
IEEE International Conference on Robotics and Automation (ICRA 2020)
Project page | Video | Code
A Hybrid Compact Neural Architecture for Visual Place Recognition
Marvin Chancán, Luis Hernandez-Nunez, A. Narendra, Andrew B. Barron, Michael Milford
IEEE Robotics and Automation Letters (RA-L)
Presented at ICRA 2020
Project page | Video | Code

Preprints

MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation
Marvin Chancán, Michael Milford
ArXiv preprint 2020
Project page | ArXiv

Research Experience

Service

Honors, Awards and Scholarships

  • 2020 - HDR High Achiever Award for high quality research outputs from QUT.
  • 2018 - Full President of the Republic Scholarship for a PhD degree at QUT.
  • 2017 - Full Huiracocha PhD Scholarship from PUCP (declined).
  • 2010 - Full Master's degree Scholarship from PUC-Rio.
  • 2009 - Graduated First in Class from UNI.
  • 2008 - Academic Honors Diploma for best performance in BSc class.
  • 2005 - Admitted in the top 2% (~2000 applicants) at UNI (top national science & engineering university).

Copyright 2005-2021 © Marvin Chancán