Hanna Kurniawati

Hanna Kurniawati is a Professor at the Australian National University (ANU) and holds the SmartSat CRC Professorial Chair for System Autonomy, Intelligence, and Decision Making. She is affiliated with the School of Computing and is a Senior Lecturer at ANU. Her research interests include robotics, decision-making under uncertainty, motion planning, computational geometry, integrated planning and learning, and reinforcement learning. She has contributed to scalable methods for planning under uncertainty, particularly within the Partially Observable Markov Decision Process (POMDP) framework. Her work has received multiple recognitions, including awards at ICAPS, ICRA, and RSS. She has served in various editorial and program roles for robotics and AI conferences and journals, and has been a keynote speaker at several major conferences.

Hanna Kurniawati is a researcher at the Australian National University, specializing in Robotics, Planning under uncertainty, Motion planning, and POMDP. Her work focuses on developing efficient algorithms for probabilistic planning in dynamic and uncertain environments. She has contributed significantly to the field through publications on point-based POMDP planning, probabilistic roadmap planning, and online POMDP solvers. Her research addresses challenges in motion planning under uncertainty, including long time horizons, continuous action spaces, and dynamic environments. Additionally, she has explored applications of POMDPs in autonomous penetration testing and robotic tasks requiring adaptive planning strategies.