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Marvin Chancán mchancanl at uni.pe I am completing a Ph.D. in electrical engineering and robotics at Queensland University of Technology, Australia, advised by Michael Milford. Previously, I received a B.Sc. in mechatronics engineering (1st in my class) from UNI in 2009, and an M.Sc. in mechatronics systems from PUC-Rio in 2012. I also worked in the automation and IT industries for over 6 years in several countries of The Americas and Europe. |
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Research
During my PhD, I focused on the intersection between deep learning, computer vision, neuroscience, and reinforcement learning for motion-and-vision based localization and navigation tasks in the context of mobile robots and autonomous vehicles. Specifically, I studied biological neural architectures underlying these complex tasks in insect and rat mammalian brains, and developed novel high-performance and robust neural network models that were shown to be orders of magnitude faster and smaller than classical methods, while setting new state-of-the-art performance metric standards with very high throughput and low latency. My research papers have been published at top-tier machine learning and robotics conferences/journals such as NeurIPS, RA-L, ICRA, and RSS.News
- New! Completed a five-month industry-based internship.
- New! Submitted the last paper of my PhD.
- Given the increasing interest on the CANN component of this paper, a quick demo has been released here.
- I have been accepted to the Janelia Research Campus's 2020 Junior Scientist MCN Workshop.
- 1 paper accepted to the NeurIPS 2020 Workshop on Machine Learning for Autonomous Driving.
- I am the recipient of the 2020 QUT HDR High Achiever Award.
- Joined the Neuro-Autonomy project. A US-Australia Multidisciplinary University Research Initiative (AUSMURI).
- Submitted my MVP paper and technically finished my (Aussie) PhD in 2 years!
- 1 paper accepted at RSS 2020 Workshop on Self-Supervised Robot Learning.
- 2 papers accepted to ICRA 2020.
- First paper of my PhD accepted to IEEE Robotics and Automation Letters journal.
Preprints
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Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place Recognition Marvin Chancán, Michael Milford arXiv:2103.02074, March 2021 Project page | ArXiv | Codebase |
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MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation Marvin Chancán, Michael Milford arXiv:2003.00667, March 2020 Project page | ArXiv |
Publications
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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 |
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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 |
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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 |
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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 |
Research Experience
- PhD Student | AUSMURI, QUT Oct 2019 – Present
Project: Neuro-Autonomy: Neuroscience-Inspired Perception, Navigation, and Spatial Awareness for Autonomous Robots. - PhD Researcher | QUT Apr 2018 – Present
Topic: Brain-inspired localization and learning for robots and autonomous vehicles. - Research Assistant | PUC-Rio Aug 2012 – Oct 2012
Topic: Optimization of petroleum production process using genetic algorithms (GA). - Research Student | PUC-Rio Aug 2011 – Aug 2012
Topic (MSc dissertation): Adaptive control of intake air properties for engine testing using fuzzy logic. - Research Student | UNI Jun 2009 – Dec 2009
Topic (BSc thesis): Control of a three-phase induction motor via neural networks using a digital signal processor (DSP).
Service
- Journal Reviewer:
IEEE Transactions on Robotics (T-RO)
IEEE Robotics and Automation Letters (RA-L)
Journal of the Brazilian Society of Mechanical Sciences and Engineering (BMSE)
International Journal of Fuzzy Systems (IJFS) - Conference Reviewer:
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Honors, Awards and Scholarships
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