Thesis topic: Adaptive User-Centred Robotic Rehabilitation and Physiotherapy
Short bio: Nanami Hashimoto joined the CRAFT lab as a PhD student in December 2024. Previously, she obtained her master's in Cognitive Robotics (Cum laude & Honours) and her bachelor's in Aerospace Engineering from Delft University of Technology in the Netherlands. Her research interests include user-centred robotics, human-robot interaction, robot task and motion planning, learning from human feedback/demonstration, and robot control.
Thesis topic: Causal Reasoning for Robotics
Short bio: Zhitao Liang joined the CRAFT lab as a PhD student in 2024. Before that, she obtained her master's in Data Science and AI at Chalmers University of Technology and her bachelor's in Software Engineering at South China University of Technology in China. Her research interests include interpretable human-robot collaboration, robot navigation performance prediction, and robot failure prediction and prevention.
Thesis topic: Interpretable AI for Robotics
Short bio: Jing Zhang joined the CRAFT lab as a PhD student in 2024. She completed her master's in Systems, Control, and Mechatronics at Chalmers University of Technology and has a bachelor's degree in Microelectronics Science and Engineering. Her research interests include human-robot collaboration, task reasoning and planning, and robot learning.
Thesis topic: Explainable and Interpretable Methods for Handling Robot Task Failures
Short bio: Maximilian Diehl was a Ph.D. student at the Department of Electrical Engineering at the Chalmers University of Technology in Sweden between 2020-2025. Previously, he obtained his Bachelor's and Master's Degrees in Electrical Engineering from the Technical University of Munich (TUM) in 2018 and 2019, respectively. In addition, he received a JASSO scholarship to pursue his master's thesis project at the Nara Institute of Science and Technology in Japan at the Interactive Media Design Laboratory in collaboration with the Institute for Cognitive Systems (ICS) at TUM in 2019. Maximilian's research interests include: explanation, prediction, and prevention of robot task execution failures; causality in robotics; robot task planning; augmented and virtual reality