activity
20142025
most citedTowards Vision-Based Deep Reinforcement Learning for Robotic Motion Control

211 citations · 1.9k across the 104 of their papers we have counts for

collaborators

114 papers

cs.RO2025

Long Exposure Localization in Darkness Using Consumer Cameras

Michael Milford, Ian Turner, Peter Corke

In this paper we evaluate performance of the SeqSLAM algorithm for passive vision-based localization in very dark environments with low-cost cameras that result in massively blurre…

cs.RO2023

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…

cs.RO2023★ 2 cited

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…

cs.RO2023

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…

cs.CV2023

Unsupervised Quality Prediction for Improved Single-Frame and Weighted Sequential Visual Place Recognition

Helen Carson, Jason J. Ford, Michael Milford

While substantial progress has been made in the absolute performance of localization and Visual Place Recognition (VPR) techniques, it is becoming increasingly clear from translati…

cs.CV2023

DisPlacing Objects: Improving Dynamic Vehicle Detection via Visual Place Recognition under Adverse Conditions

Stephen Hausler, Sourav Garg, Punarjay Chakravarty +3

Can knowing where you are assist in perceiving objects in your surroundings, especially under adverse weather and lighting conditions? In this work we investigate whether a prior m…