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. |
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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 |
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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 |
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