58 citations · 83 across the 6 of their papers we have counts for
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cs.RO2020★ 1 cited
Robot Perception enables Complex Navigation Behavior via Self-Supervised Learning
Marvin Chancán, Michael Milford
Learning visuomotor control policies in robotic systems is a fundamental problem when aiming for long-term behavioral autonomy. Recent supervised-learning-based vision and motion p…
cs.RO2020★ 8 cited
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation
Marvin Chancán, Michael Milford
Autonomous navigation emerges from both motion and local visual perception in real-world environments. However, most successful robotic motion estimation methods (e.g. VO, SLAM, Sf…
cs.RO2019
CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning
Marvin Chancán, Michael Milford
Visual navigation tasks in real-world environments often require both self-motion and place recognition feedback. While deep reinforcement learning has shown success in solving the…