I am a third 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.
I am also an active member of Stockholm AI and organize their biweekly Machine Learning Reading Group.
A (not up-to-date CV) can be found here.
I am also reachable on Linkedin.
Mar. 2018: Gave a talk for a fantastic audience at Women in Data Science Sweden.
Dec. 2017: Gave a 1 hour presentation for the algorithms team at Tobii.
Nov. 2017: Gave a 30 min talk about Human-Robot Interaction at Internetdagarna, Internet Days.
Apr. 2017: Second round of the "Hur tänker en robot" - workshop at the Tekla festival.
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 (How does a robot think - 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.
Bütepage, J., Kjellström, H. & Kragic, D. (2018), Anticipating many futures: Online human motion prediction and synthesis for human-robot collaboration, ICRA 2018.
Zhang, C., Bütepage, J. Kjellström, H. & Mandt, S. (2017), Advances in Variational Inference.
Bütepage, J. & Kragic, D. (2017), Human-Robot Collaboration: From Psychology to Social Robotics.
Bütepage, J., Black, M., Kragic, D., & Kjellström, H. (2017), Deep representation learning for human motion prediction and classification., CVPR 2017.
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.
Ongoing since Autumn 2015 Machine Learning Reading Group (PhD)
Autumn 2018: TA in Machine Learning Advanced (Msc)
Autumn 2017: TA in Machine Learning Advanced (Msc)
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)