Marvin Chancán

According to our database, Marvin Chancán authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Energy-Aware Ergodic Search: Continuous Exploration for Multi-Agent Systems with Battery Constraints.

Adam Seewald, Cameron J. Lerch, Marvin Chancán, Aaron M. Dollar, Ian Abraham

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

RB5 Low-Cost Explorer: Implementing Autonomous Long-Term Exploration on Low-Cost Robotic Hardware.

Adam Seewald, Marvin Chancán, Connor M. McCann, Seonghoon Noh, Omeed Fallahi, Hector Castillo, Ian Abraham, Aaron M. Dollar

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

DEUX: Active Exploration for Learning Unsupervised Depth Perception.

Marvin Chancán, Alex Wong, Ian Abraham

CoRR, 2023

2021

Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place Recognition.

Marvin Chancán, Michael Milford

CoRR, 2021

2020

A Hybrid Compact Neural Architecture for Visual Place Recognition.

Marvin Chancán, Luis Hernandez-Nunez, Ajay Narendra, Andrew B. Barron, Michael Milford

IEEE Robotics Autom. Lett., 2020

DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition.

Marvin Chancán, Michael Milford

CoRR, 2020

Robot Perception enables Complex Navigation Behavior via Self-Supervised Learning.

Marvin Chancán, Michael Milford

CoRR, 2020

MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation.

Marvin Chancán, Michael Milford

CoRR, 2020

CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning.

Marvin Chancán, Michael Milford

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

A Compact Neural Architecture for Visual Place Recognition.

Marvin Chancán, Luis Hernandez-Nunez, Ajay Narendra, Andrew B. Barron, Michael Milford

CoRR, 2019

From Visual Place Recognition to Navigation: Learning Sample-Efficient Control Policies across Diverse Real World Environments.

Marvin Chancán, Michael Milford

CoRR, 2019