Judith Bütepage

Learning Machines

About Me

I am a second year PhD student at the Robotics, Perception and Learning Lab, CSC, at KTH in Stockholm, Sweden. My research focuses on representation and interpretation of sensorimotor signals in human-robot interaction.

In more detail, I am interested in how low-level action-perception loops can give rise to high-level social cognition, see the EU project socSMCs (social Sensorimotor Contingencies).

As my background merges cognitive science, mathematics and computer science, my goal is to apply advanced machine learning algorithms and statistical inference in order to gain a better understanding of the underlying communication processes.

A short CV can be found here.

News

Feb. 2017: Invited to a panel talk about the life as a female PhD student at the Equality week.

Apr. - Jul. 2016: Internship at the Max Planck Institute for Intelligent Systems.

Apr. 2016: Coorganized the "Hur tänker en robot" - workshop at the Tekla festival.

Apr. 2016: I defended my master thesis.

Dec. 2015: Supervised to students from the International English school in Täby for a week. They learned basic programming skills.

Publications

Bütepage, J., Kjellström, H. & Kragic, D. (2017), Anticipating many futures: Online human motion prediction and synthesis for human-robot collaboration.

Bütepage, J., Black, M., Kragic, D., & Kjellström, H. (2017), Deep representation learning for human motion prediction and classification.

Vesper, C., Abramova E., Bütepage, J., et al. (2016), Joint Action: Mental Representations, Shared Information and General Mechanisms for Coordinating with Others., Frontiers in Psychology (7) 2016

Ghadirzadeh, A., Bütepage, J., Maki. A., Kragic, D., & Björkman, M. (2016), A sensorimotor reinforcement learning framework for physical Human-Robot Interaction., IROS 2016

Ghadirzadeh, A., Bütepage, J., Kragic, D., & Björkman, M. (2016), Self-learning and adaptation in a sensorimotor framework., ICRA 2016

Bütepage, J., Kjellström, H. & Kragic, D.(2016), Social Affordance Tracking over Time - A Sensorimotor Account of False-Belief Tasks., CogSci 2016

Teaching

Ongoing since Autumn 2015 Machine Learning Reading Group (PhD)

Autumn 2016: TA in Computer Vision and Image Analysis (Msc)

Autumn 2016: TA in Artificial Intelligence (Msc)

Autumn 2016: TA in Machine Learning Advanced (Msc)

Autumn 2015: TA in Artificial Intelligence (Msc)

Autumn 2015: TA in Machine Learning Advanced (Msc)

Spring 2016: TA in Search Engines and Information Retrieval Systems (Msc)