In fall 2012, I joined MIT to pursue a PhD in Computer Science. Within the CS and AI Laboratory (CSAIL), I am working with John W. Fisher III and John Leonard. On my way to MIT, I graduated from the Technische Universit√§t M√ľnchen (TUM) with a Diplom and the Georgia Institute of Technology with a M.Sc.

My research interests in AI and robotics are in 3D perception [1, 3, 4, 8, 9, 10], modeling (directional data [1, 2] and Bayesian nonparametrics [5, 7]), and inference (sampling [1, 2, 4], optimization [6, 7] and low-variance asymptotics [3]).

MMF

MMF

The Mixture of Manhattan Frames (MMF) is a versatile model to capture man-made environments.

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DPvMF-means

DPvMF-means

Nonparametric clustering algorithms for batch and streaming directional data. GPU-enabled fast inference.

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DP-TGMM

DP-TGMM

Dirichlet process tangent space Gaussian mixture for Bayesian nonparametric inference on directional data.

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My interest in robotics and 3D perception originates from age 15, when I got my first micro-processor from my father as a present. Since then I have built seven robots (Plexa, Plicro, Roboking2005, Ca3505, Kno0Bot, Kno2Bot, Holomove) from scratch and worked in multiple teams on robotics related projects (KUKAyouBot, rEIzor).

Kno0Bot

Kno0Bot

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Plicro

Plicro

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Holonmove

Holomove

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