103 citations · 627 across the 42 of their papers we have counts for
35 papers · 1 filter
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
Krishan Rana, Ming Xu, Brendan Tidd +2
Skill-based reinforcement learning (RL) has emerged as a promising strategy to leverage prior knowledge for accelerated robot learning. Skills are typically extracted from expert d…
Probabilistic Appearance-Invariant Topometric Localization with New Place Awareness
Ming Xu, Tobias Fischer, Niko Sünderhauf +1
Probabilistic state-estimation approaches offer a principled foundation for designing localization systems, because they naturally integrate sequences of imperfect motion and exter…
A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition
Nikhil Varma Keetha, Michael Milford, Sourav Garg
Visual Place Recognition (VPR) approaches have typically attempted to match places by identifying visual cues, image regions or landmarks that have high ``utility'' in identifying…
Where is your place, Visual Place Recognition?
Sourav Garg, Tobias Fischer, Michael Milford
Visual Place Recognition (VPR) is often characterized as being able to recognize the same place despite significant changes in appearance and viewpoint. VPR is a key component of S…
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg, Niko Sünderhauf, Feras Dayoub +9
For robots to navigate and interact more richly with the world around them, they will likely require a deeper understanding of the world in which they operate. In robotics and rela…
Fast and Robust Bio-inspired Teach and Repeat Navigation
Dominic Dall'Osto, Tobias Fischer, Michael Milford
Fully autonomous mobile robots have a multitude of potential applications, but guaranteeing robust navigation performance remains an open research problem. For many tasks such as r…