About

This is an image of me.

My name is Johannes A. Stork and I am a post-doctoral researcher at the Royal Institute of Technology (KTH), Sweden. I work at the Robotics, Perception, and Learning Lab (RPL) and the Center for Autonomous Systems (CAS).

My main research interest is in autonomous intelligent systems. In specific I am interested in how agents can make decision under uncertainty and learn from experience in dynamic and human-populated environments. I have been working on a large range of different applications: robotic grasp design, in-hand manipulation, and topology-based caging, as well as, tracking of pedestrians, socially normative and visual robot navigation, and further audio-based activity recognition and structured prediction for scene understanding. I am also interested in Bayesian statistics and reinforcement learning.

Short Bio: Before joining RPL as a post-doctoral researcher, I was a PhD. student in Computer Science (Computer Vision and Robotics) at the Computer Vision and Active Perception Lab (CVAP) at the Royal Institute of Technology (KTH) in Stockholm. I did my graduate research as a member of Professor Danica Kragic’s research group where my co-supervisors were Carl Henrik Ek and Yasemin Bekiroglu. Before that, I spent several years of my undergraduate studies at the University of Freiburg, Germany, as a student research assistant at the Social Robotics Lab of Professor Kai O. Arras. I hold a MSc. and a BSc. degree in Computer Science with concentration in Artificial Intelligence and Robotics with minor in Mathematics from Freiburg University.

News

2017-05
Our new paper about non-parametric spatial context structure learning was accepted to RO-MAN 2017. (Thippur, A., Stork, J. A., & Jensfelt, P. (2017). Non-Parametric Spatial Context Structure Learning for Autonomous Understanding of Human Environments. In Proc. IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN’17).)

2017-02
Our paper was selected for oral presentation at ICRA 2017. (Hang, K., Stork, J. A., Pollard, N. S., & Kragic, D. (2017). A Framework For Optimal Grasp Contact Planning. IEEE Robotics and Automation Letters, 2(2), 704–711.)

2017-01
Our new paper about design of optimal robotic grasps was accepted to Robotics and Automation Letters. (Hang, K., Stork, J. A., Pollard, N. S., & Kragic, D. (2017). A Framework For Optimal Grasp Contact Planning. IEEE Robotics and Automation Letters, 2(2), 704–711.)

2016-08
I started as a post-doctoral researcher at KTH.