The past months (June-July), our colleagues from Boğaziçi University, one of our consortium partners, recently made a trip to Japan with the goal to collaborate with the Japanese scientific community and to present the INVERSE project.
This article gives an overview of all activities they committed to during their stay in Japan.
Eighth International Workshop on Symbolic-Neural Learning (SNL2024)
The Eight International Workshop on Symbol-Neural Learning (SNL 2024) on June 27th, 2024 at Odaiba Tokyo, Japan was a platform for Professor Emre Ugur from Bogazici University to present the ongoing research in the INVERSE project with his keynote titled “Deepsym: A Neuro-symbolic Approach for Symbol Emergence and Planning”.
Professor Emre Ugur at the University of Tokyo
On July 3rd, Professor Emre Ugur presented the ongoing research in the INVERSE project in his talk titled “Discovering symbols in the sensorimotor experience of robots” at University of Tokyo.
Guest talks on cognitive developmental robotics at the Next Generation Artificial Intelligence Research Center (AI Center) of the University of Tokyo
Dr. Doğa Doğan, a post-doctoral researcher at Boğaziçi University, presented the intuitive human-robot interaction framework developed for the INVERSE project in his guest talk on cognitive developmental robotics called “Ubiquitous Metadata: Embedded Object Markers for HCI and HRI” on July 7th, 2024 at the Next Generation Artificial Intelligence Research Center (AI Center) of the University of Tokyo.
In his talk, he introduced innovative embedded markers for extended reality (AR/VR/XR) that enhance functionality, security, and aesthetics. These markers create interactive experiences by linking physical and digital worlds, improving machine and robot understanding in human-computer and human-robot interactions. This leads to advancements in automation, smart manufacturing, and personalized user experiences, bridging the gap between physical and digital realms.
IRCN and Chen Institute Joint Course on Neuro-inspired Computation
In the framework of the IRCN and Chen Institute Workshop on Neuro-Inspired Computation that took place on July 18th 2024 in Tokyo, Japan, PhD-student Hakan Aktaş disseminated Boğaziçi University’s contribution within the INVERSE project by presenting his poster titled “Neural Discrete Representation Learning for Bi-Level Planning”.
Visiting the Institute for Open and Transdisciplinary Research Initiatives, Osaka University
Professor Emre Ugur and his team visited the Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka, Japan. This was an opportunity for the colleagues to initiate a collaboration with Prof. Erhan Oztop and Prof. Minoru Asada working on “learning of parametrized robot skills,” therefore an important experience as this type of learning is a core task of the INVERSE project.