research
∙
12/16/2022
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving
The feasibility of collecting a large amount of expert demonstrations ha...
share
research
∙
07/18/2022
A hierarchical semantic segmentation framework for computer vision-based bridge damage detection
Computer vision-based damage detection using remote cameras and unmanned...
research
∙
05/05/2022
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing
We present the results of our autonomous racing virtual challenge, based...
research
∙
04/05/2022
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection
Anomaly detection has many important applications, such as monitoring in...
research
∙
10/14/2021
Safety-aware Policy Optimisation for Autonomous Racing
To be viable for safety-critical applications, such as autonomous drivin...
research
∙
05/19/2021
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization
While reinforcement learning (RL) is gaining popularity in energy system...
research
∙
12/16/2020
Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings
Alternating current optimal power flow (AC-OPF) is one of the fundamenta...
research
∙
02/06/2020