TAI AAI #13 - Embodied AI: From Seeing to Imagining to Doing
How modern robots and other physical agents connect perception to useful action. We’ll outline a simple arc: VLMs for shared understanding between humans and machines, world models for prediction and planning, and VLAs for turning goals into reliable behavior in the real world.
📌 Topics we’ll explore
🔹 Seeing (VLMs): language being an interface between humans and embodied AI (Roland Meertens).
🔹 Imagining (World Model): world model being a predictive “world representation or embedding” of the physical world (Alisher Abdulkhaev).
🔹 Doing (VLAs): mapping vision-language inputs into actionable skills and policies (Motonari Kambara)
Want to get insight about the embodied AI from conceptual introductions to all the way to technical discussions?
Agenda
18:00 - 18:30 Doors Open
18:30 - 18:40 Introduction
18:40 - 19:10 Talk 1
19:10 - 19:40 Talk 2
19:40 - 20:10 Talk 3
20:10 - 21:00 Networking
Speakers
Talk 1: How can AI models imagine the real world?
Speaker: Alisher Abdulkhaev (Co-founder, Kanaria Tech)
Abstract: The world model is a predictive “world representation or embedding” of the physical world that lets AI models comprehend the world state and imagine future states of the world. In his talk, Alisher (CTO & CoFounder, Kanaria Tech) will touch on the essential concepts in world modelling including how the world modelling handles the uncertainties and plans ahead rather than reacting moment to moment.
Bio: TBC
Talk 2: TBC
Speaker: Roland Meertens (ML Engineer, Wayve)
Abstract: TBC
Bio: TBC
Talk 3: TBC
Speaker: Motonari Kambara (PhD Student, Keio University)
Abstract: TBC
Bio: TBC
Tokyo AI (TAI) information
TAI is the biggest AI community in Japan, with 2,700+ members mainly based in Tokyo (engineers, researchers, investors, product managers, and corporate innovation managers). Web: https://www.tokyoai.jp/
Organizers
Alisher Abdulkhaev: TBC
Ilya Kulyatin: Fintech and AI entrepreneur with work and academic experience in the US, Netherlands, Singapore, UK, and Japan, with an MSc in Machine Learning from UCL.