66 citations · 79 across the 7 of their papers we have counts for
14 papers
Teach and Repeat Navigation: A Robust Control Approach
Payam Nourizadeh, Michael Milford, Tobias Fischer
Robot navigation requires an autonomy pipeline that is robust to environmental changes and effective in varying conditions. Teach and Repeat (T&R) navigation has shown high perform…
VPRTempo: A Fast Temporally Encoded Spiking Neural Network for Visual Place Recognition
Adam D. Hines, Peter G. Stratton, Michael Milford +1
Spiking Neural Networks (SNNs) are at the forefront of neuromorphic computing thanks to their potential energy-efficiency, low latencies, and capacity for continual learning. While…
Trajectory Tracking via Multiscale Continuous Attractor Networks
Therese Joseph, Tobias Fischer, Michael Milford
Animals and insects showcase remarkably robust and adept navigational abilities, up to literally circumnavigating the globe. Primary progress in robotics inspired by these natural…
Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments
Somayeh Hussaini, Michael Milford, Tobias Fischer
Spiking neural networks (SNNs) offer both compelling potential advantages, including energy efficiency and low latencies and challenges including the non-differentiable nature of e…
Bio-inspired robot perception coupled with robot-modeled human perception
Tobias Fischer
My overarching research goal is to provide robots with perceptional abilities that allow interactions with humans in a human-like manner. To develop these perceptional abilities, I…
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…