5 papers
RobustMAD: Evaluating Real-World Robustness of Multimodal Small Language Models for Deployable Anomaly Detection Assistants
Anushiya Arunan, Xin Li, Yan Qin +4
Multimodal industrial anomaly inspection assistants are a critical component of next-generation smart factories, enabling interactive vision-language-based querying. However, multi…
Learning More with Less: A Generalizable, Self-Supervised Framework for Privacy-Preserving Capacity Estimation with EV Charging Data
Anushiya Arunan, Yan Qin, Xiaoli Li +3
Accurate battery capacity estimation is key to alleviating consumer concerns about battery performance and reliability of electric vehicles (EVs). However, practical data limitatio…
All-UWB SLAM Using UWB Radar and UWB AOA
Charith Premachandra, Achala Athukorala, U-Xuan Tan
There has been a growing interest in autonomous systems designed to operate in adverse conditions (e.g. smoke, dust), where the visible light spectrum fails. In this context, Ultra…
MEF-Explore: Communication-Constrained Multi-Robot Entropy-Field-Based Exploration
Khattiya Pongsirijinda, Zhiqiang Cao, Billy Pik Lik Lau +3
Collaborative multiple robots for unknown environment exploration have become mainstream due to their remarkable performance and efficiency. However, most existing methods assume p…
A Scalable Decentralized Reinforcement Learning Framework for UAV Target Localization Using Recurrent PPO
Leon Fernando, Billy Pik Lik Lau, Chau Yuen +1
The rapid advancements in unmanned aerial vehicles (UAVs) have unlocked numerous applications, including environmental monitoring, disaster response, and agricultural surveying. En…