1 citations · 1 across the 7 of their papers we have counts for
8 papers
Agentic-Priors: Using Large Language Models to Address the Cold Start Problem in Preference Elicitation
Bruno Arcanjo, Zhaoxing Li, Sebastian Stein
An agent that learns a user's preferences from their choices faces a cold start problem: before any choices are observed, it must rely solely on a prior. Informative priors are usu…
Three Lessons from Citizen-Centric Participatory AI Design
Eike Schneiders, Sarah Kiden, Beining Zhang +5
This workshop paper examines challenges in designing agentic AI systems from a citizen-centric perspective. Drawing on three participatory workshops conducted in 2025 with members…
Multi-Technique Sequential Information Consistency For Dynamic Visual Place Recognition In Changing Environments
Bruno Arcanjo, Bruno Ferrarini, Michael Milford +2
Visual place recognition (VPR) is an essential component of robot navigation and localization systems that allows them to identify a place using only image data. VPR is challenging…
Aggregating Multiple Bio-Inspired Image Region Classifiers For Effective And Lightweight Visual Place Recognition
Bruno Arcanjo, Bruno Ferrarini, Maria Fasli +3
Visual place recognition (VPR) enables autonomous systems to localize themselves within an environment using image information. While VPR techniques built upon a Convolutional Neur…
Patch-DrosoNet: Classifying Image Partitions With Fly-Inspired Models For Lightweight Visual Place Recognition
Bruno Arcanjo, Bruno Ferrarini, Michael Milford +2
Visual place recognition (VPR) enables autonomous systems to localize themselves within an environment using image information. While Convolution Neural Networks (CNNs) currently d…
A-MuSIC: An Adaptive Ensemble System For Visual Place Recognition In Changing Environments
Bruno Arcanjo, Bruno Ferrarini, Michael Milford +2
Visual place recognition (VPR) is an essential component of robot navigation and localization systems that allows them to identify a place using only image data. VPR is challenging…
Merging Classification Predictions with Sequential Information for Lightweight Visual Place Recognition in Changing Environments
Bruno Arcanjo, Bruno Ferrarini, Michael Milford +2
Low-overhead visual place recognition (VPR) is a highly active research topic. Mobile robotics applications often operate under low-end hardware, and even more hardware capable sys…
An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments
Bruno Arcanjo, Bruno Ferrarini, Michael Milford +2
State-of-the-art visual place recognition performance is currently being achieved utilizing deep learning based approaches. Despite the recent efforts in designing lightweight conv…