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 Universität München (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 ).
The Mixture of Manhattan Frames (MMF) is a versatile model to capture man-made environments.
Nonparametric clustering algorithms for batch and streaming directional data. GPU-enabled fast inference.
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).