I received both my BSc in Microengineering (2008) and my MSc in Robotics and Autonomous Systems (2011) from École Polytechnique Fédérale de Lausanne (EPFL).
In 2012 I joined the Autonomous Motion Department at the Max-Planck Institute for Intelligent Systems (MPI-IS), where I am currently working on my PhD.
Email: manuel [period] wuthrich [snail] tuebingen [period] mpg [period] de
I am interested in human reasoning and decision making. To name a few keywords, I am interested in logic and probability theory, machine learning, estimation and optimal control.
Estimation is concerned with inferring the state of a dynamical system continuously from incoming sensor measurements. I am interested in developing such algorithms to extract and fuse information from different sensor modalities, such as range cameras, joint encoders and force sensors. In particular, I am interested in the variational inference point of view on estimation algorithms.
Given the state of the environment inferred by the estimation algorithm, which is the optimal next action to take? I am particularly interested in systems where the state can only be observed through a noisy nonlinear measurement. The separation principle does not hold in this case, which means that estimation and control have to be addressed jointly.
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