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Marvin Chancán mchancanl [at] uni.pe Welcome! I am currently a PhD student in electrical engineering and robotics at QUT, advised by Prof. Michael Milford. Previously I received my BSc in mechatronics engineering from UNI and also worked in the automation and IT industry for over 6 years. In my research, I focus on the intersection between neuroscience, machine learning, and neural networks, with the aim of developing faster learning algorithms and techniques for robots and autonomous vehicles. My Google Scholar | LinkedIn | YouTube profiles. |
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News
- Received the QUT's HDR High Achiever Award 2020.
- Joined the Neuro-Autonomy project. A US-Australia Multidisciplinary University Research Initiative (AUSMURI).
- 1 paper accepted at RSS 2020 Workshop on Self-Supervised Robot Learning.
- Submitted 1 paper to IROS 2020 (and technically finished the PhD in 2 years).
- 2 papers accepted to ICRA 2020.
- First paper of my PhD was accepted to RA-Letters journal.
Preprints
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MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation Marvin Chancán, Michael Milford ArXiv preprint 2020 Project page | ArXiv |
Selected Publications
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Robot Perception enables Complex Navigation Behavior via Self-Supervised Learning Marvin Chancán, Michael Milford Robotics: Science and Systems XVI (RSS 2020) Workshop on Self-Supervised Robot Learning 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 |
Competition and Poster
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NeuroSLAM: A Brain Inspired SLAM System for 3D Environments Fangwen Yu, Marvin Chancán, Jianga Shang, Youjian Hu, Michael Milford 2019 International Collegiate Competition for Brain-inspired Computing (ICCBC), Tsinghua University Top ¥ 300,000 Innovation Grant Prize Project page | Poster |
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).
Academic Service
- Journal Reviewer:
- IEEE Robot. Autom. Lett. 2020
- J. Braz. Soc. Mech. Sci. & Eng. 2019
- Int. J. Fuzzy Syst. 2018 - Conference Reviewer:
- IEEE/RSJ Int. Conf. Intell. Robot. & Syst. 2020
Honors, Awards and Scholarships
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