Hi, I'm Mike Hamer

My research interests lie in the intersection of robotics, computation, and machine learning. After completing the Bachelor of Computer Science and Bachelor of Computer Engineering in Perth, Australia, I moved to Z├╝rich to pursue these interests through a Masters and then PhD of Robotics at the Institute for Dynamic Systems and Control, ETH Zurich, where I focused on the localization and coordination of robot swarms. I completed my PhD in July 2019.

My research on the localization of robot swarms focused on the application of ultra-wideband radio modules to the localization of robots swarms in semi-structured environments. My implementations of localization, control and state estimation algorithms have supported live quadrocopter shows, and have given a new degree of autonomy to the open-source Crazyflie micro-quadrocopter, to which my contributions include an improved flight controller, an extended Kalman filter, as well as numerous bug fixes and driver improvements.

My research on the coordination of robot swarms focused on the generation of collision-free trajectories for large swarms of robots operating simultaneously and in close proximity. Using my method, collision-free trajectories can be generated an order of magnitude faster than is possible using existing methods.

In addition to my published research, I have experience applying deep (reinforcement) learning to real-world problems (using both PyTorch and Tensorflow).

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Select Publications

Scalable Localization and Coordination of Robot Swarms

PhD Thesis 2019

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Fast generation of collision-free trajectories for robot swarms using GPU acceleration

IEEE Access 2018

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Self-Calibrating Ultra-Wideband Network Supporting Multi-Robot Localization

IEEE Access 2018

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