246 citations · 558 across the 13 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…
A RoboStack Tutorial: Using the Robot Operating System Alongside the Conda and Jupyter Data Science Ecosystems
Tobias Fischer, Wolf Vollprecht, Silvio Traversaro +3
We argue that it is beneficial to tightly couple the widely-used Robot Operating System with Conda, a cross-platform, language-agnostic package manager, and Jupyter, a web-based in…
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
Stephen Hausler, Sourav Garg, Ming Xu +2
Visual Place Recognition is a challenging task for robotics and autonomous systems, which must deal with the twin problems of appearance and viewpoint change in an always changing…
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…
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…
Intelligent Reference Curation for Visual Place Recognition via Bayesian Selective Fusion
Timothy L. Molloy, Tobias Fischer, Michael Milford +1
A key challenge in visual place recognition (VPR) is recognizing places despite drastic visual appearance changes due to factors such as time of day, season, weather or lighting co…
Event-based visual place recognition with ensembles of temporal windows
Tobias Fischer, Michael Milford
Event cameras are bio-inspired sensors capable of providing a continuous stream of events with low latency and high dynamic range. As a single event only carries limited informatio…
Context-aware Deep Feature Compression for High-speed Visual Tracking
Jongwon Choi, Hyung Jin Chang, Tobias Fischer +5
We propose a new context-aware correlation filter based tracking framework to achieve both high computational speed and state-of-the-art performance among real-time trackers. The m…
DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self
Clément Moulin-Frier, Tobias Fischer, Maxime Petit +16
This paper introduces a cognitive architecture for a humanoid robot to engage in a proactive, mixed-initiative exploration and manipulation of its environment, where the initiative…