PhD students and their research

During the fall of 2015, WASP recruited six PhD students for research within three projects: Automated Transport Systems, Localization and Scalability for Distributed Autonomous Systems, and Integrating Perception, Learning and Verification in Interactive Autonomous Systems.

Project: Automated Transport Systems

Linnea Persson will work on smart multi-agent systems and the corresponding data processing algorithms to provide agents with a an accurate description of their environment and its evolution, as well as optimization and control algorithms enabling agents to select and update in real-time their actions. Persson is supervised by Bo Wahlberg.

Dirk Van Dooren will develop control algorithms for autonomous vehicles connected over mobile networks. How to move executable control code through a network will be investigated. Demonstrations on control of vehicle platoons and other formations from the communication infrastructure will be targeted. Van Dooren is supervised by Karl-Henrik Johansson.

Project: Localization and Scalability for Distributed Autonomous Systems

Jiexiong Tang will create 3D models of indoor environments using small flying robots. The vision is a system that autonomously explores and maps an unknown environment and which can improve this model over time, for example, by increasing geometric accuracy, more details in textures, and by associating common structures across space and time. Tang will be supervised by Patric Jensfelt.

Håkan Carlsson will develop sensor fusion algorithms that can fuse the individual measurements from massive arrays of low-cost low-performance inertial sensors such as integrated MEMS based accelerometers and gyroscopes, in order to create high-performance virtual sensors. Special attention will be given to the application of UAV-positioning, which calls for significantly higher dynamic sensor ranges than what is achievable by any single MEMS sensor alone. Joakim Jaldén will be supervising Carlsson.

Project: Integrating Perception, Learning and Verification in Interactive Autonomous Systems

Mia Kokic will work on robotic grasping and interaction with the environment. She will integrate low level control mechanisms based on multisensory feedback with high-level, task related knowledge for generating optimised grasping and interaction strategies. Kokic’s will be supervised by Danica Kragic.

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