We are pleased to share that the paper “Adaptive Robust Safe Policy Optimization with Distributional Risk Modeling for Uncertainty-aware Autonomous Navigation” has been accepted for publication in the IEEE Transactions on Automation Science and Engineering (T-ASE) on 8 October 2026.
The work was led by PhD student Yuanyuan Zhang at the Trustworthy AI and Autonomous Systems Laboratory (TASLAB), The Hong Kong Polytechnic University (PolyU), together with Dr. Yingying Wang and Prof. Weisong Wen. It continues TASLAB’s research on safe reinforcement learning for autonomous systems, using distributional risk modelling to make navigation policies robust to uncertainty.
Yuanyuan Zhang, PhD student at TASLAB.
Congratulations to Yuanyuan and all co-authors!