Schedule

Warsaw University of Technology - Main Builiding

Main Building of Warsaw University of Technology

Warsaw University of Technology Days at Keio University

Warsaw University of Technology Days at Keio University is a promotion of the scientific, didactic and cultural offer of the Warsaw University of Technology.

During 4 days, the staff of the Warsaw University of Technology will promote the scientific, didactic and cultural offer of the Warsaw University of Technology in the area of IT with a special focus on robotics and artificial intelligence. Representatives of the host university (Keio University) and other Japanese universities will be invited to the meetings.

An element of the promotion of Polish culture and academic culture at the Warsaw University of Technology will be performances by members of the Song and Dance Ensemble of the Warsaw University of Technology.

SCHEDULE

TIME	28 April - Monday
8.45 - 10.45	> > >		Meetings with students of Keio University
10.45 - 12.15	Workshop A - Robotics led by Prof. Teresa Zielińska 30 participants, A Raiosha building, 2nd floor, room 1 Keio University, Hyioshi Campus		Meetings with students of Keio University
12.25 - 13.00	Dance show by the Song and Dance Ensemble of WUT / Lunch break Raiosha building - Keio University, Hyioshi Campus
13.00 - 14.00	Meetings with academic staff from other Japanese universities led by Grzegorz Robak Room III (Sho-Kaigishitsu) Keio University, Hyioshi Campus		Meetings with students of Keio University
14.00 - 14.45	> > >		Meetings with Keio University academic teachers and students
14.45 - 16.15	Workshop B - Artificial Intelligence led by Prof. Włodzimierz Kasprzak 30 participants, B Raiosha building, 2nd floor room 2 Keio University, Hyioshi Campus	Meetings with academic staff from other Japanese universities led by Grzegorz Robak Room III (Sho-Kaigishitsu) Keio University, Hyioshi Campus
16.15 - 18.15	> > >
18.15 - 19.00	Dance show by the Song and Dance Ensemble of WUT Raiosha building - Keio University, Hyioshi Campus

TIME	29 April - Tuesday
8.45 - 10.45	> > >		Meetings with students of Keio University
10.45 - 12.15	Workshop B - Artificial Intelligence led by Prof. Włodzimierz Kasprzak 30 participants, B Raiosha building, 2nd floor, room 1 Keio University, Hyioshi Campus		Meetings with students of Keio University
12.25 - 13.00	Dance show by the Song and Dance Ensemble of WUT / Lunch break Raiosha building - Keio University, Hyioshi Campus
13.00 - 14.00	Meetings with academic staff from other Japanese universities led by Grzegorz Robak Room III (Sho-Kaigishitsu) Keio University, Hyioshi Campus		Meetings with students of Keio University
14.00 - 14.45	> > >		Meetings with Keio University academic teachers and students
14.45 - 16.15	Workshop A - Robotics led by Prof. Teresa Zielińska 30 participants, A Raiosha building, 2nd floor, room 2 Keio University, Hyioshi Campus	Meetings with academic staff from other Japanese universities led by Grzegorz Robak Room III (Sho-Kaigishitsu) Keio University, Hyioshi Campus
16.15 - 18.00	> > >
18.15 - 19.00	Dance show by the Song and Dance Ensemble of WUT Raiosha building - Keio University, Hyioshi Campus

prof. Teresa Zielińska

Workshop A

Professor Teresa Zielińska is a full professor at the Faculty of Power and Aerospace Engineering at Warsaw University of Technology and a Senior Member of IEEE since 2005. She holds an MSc in automatic control and a PhD in robotics from WUT, as well as a DSc from the Polish Academy of Sciences. Her research focuses on robotics, machine learning, biorobotics, and humanoid locomotion. She has authored over 300 publications, holds two patents, and has developed innovative solutions such as shared force sensors and biologically inspired gait generators. She has held leadership roles in IEEE and IFToMM and has received multiple awards, including from the Polish Ministry of Education and the Rector of WUT.

prof. Włodzimierz Kasprzak

Workshop B

Professor Włodzimierz Kasprzak is a specialist in pattern recognition and artificial intelligence at the Institute of Control and Computation Engineering, Warsaw University of Technology. He holds a Ph.D. and D.Sc. from WUT, as well as a Dr.-Ing. from the University of Erlangen-Nuremberg. Since 1997, he has led the Machine Perception Group, teaching and researching topics such as computer vision, image and speech analysis, and machine learning—mainly in English-language programs. His international experience includes work in Germany and Japan, and from 2012 to 2015 he was affiliated with the Industrial Research Institute for Automation and Measurements in Warsaw. He was awarded the title of Professor in 2014.

Workshop A

The Journey Through Bio-Robotics – From Animals to Robots

Compared to current designs and capabilities of robots, the animal world offers many advantages. Animal body structures are extremely diverse and well adapted to the environments in which they live. Their behaviors enable them to cope with difficult and unexpected situations. Modern robotics requires creativity, and biological inspiration can be drawn from many aspects, including the physical structure of animal bodies, the organization of the nervous system, movement strategies, and behaviors. However, mimicking biology is not always necessary in biologically inspired robot designs. Knowledge of biological features allows researchers to propose new solutions by incorporating helpful inspirations from biology, while avoiding some of its weaknesses.

After summarizing the animal world from the perspective of body structures, the biological fundamentals of sensing, motion planning, and control will be briefly discussed. This will lead to the presentation of biologically inspired robotic solutions developed at WUT. Participants will be encouraged and guided to propose their own concepts for biologically inspired robots dedicated to practical applications.

Workshop B

Human Activity Recognition in Images and Video – Pattern Recognition- and Artificial Intelligence Techniques

The workshop is going to address our solutions in hand gesture recognition, human pose estimation, person verification and age/sex estimation, single-person action classification and two-person interaction classification. Classic pattern recognition techniques applied here are based on keypoint features, image motion estimation and model-to-image matching or HMM-based classification of video sequences. Deep learning techniques apply most often pre-trained models for pose estimation to generate skeleton data for human silhouettes and various-type networks for action/interaction feature extraction and -classification. The role of deep network models, based on CNNs, LSTMs and Graph CNNs is explained. The state-of-the-art techniques for human recognition in image/video will also be presented. Finally, we are going to discuss our prospective research tasks in machine perception based on image/video data.

The practice of the Ensemble

The Song and Dance Ensemble of the Warsaw University of Technology is one of the oldest student song and dance ensembles in the country. It was founded in 1951 on the initiative of a group of students and future engineers fascinated with Polish folklore.

Today, the ensemble is distinguished by, among other things, its structure - a division into a ‘dancing choir’ and a ‘singing dance group’. Although excellently prepared, each concert of the Warsaw University of Technology Song and Dance Ensemble is a separate artistic event in which passion, emotions and good fun are equally important as skill.

The current repertoire includes national dances: polonaise, mazur, krakowiak kujawiak and oberek.

The Song and Dance Ensemble of the Warsaw University of Technology has won many awards at national and international festivals. However, the most important achievement of its artistic work is the ever-growing group of people in love with Polish folklore - both the successive generations belonging to the ‘group family’ and the audience filling the concert halls.