[2025 – 2028] Investigating Spatial ID as a standardized, multi-resolution spatial indexing layer that enables interoperable urban data systems, real-time querying, and large-scale spatial computing applications.Read more

[2025 – 2028] Investigating Spatial ID as a standardized, multi-resolution spatial indexing layer that enables interoperable urban data systems, real-time querying, and large-scale spatial computing applications.Read more
[2023 – 2025] This project seeks to establish a scientifically framework for Level-4 autonomous flight of unmanned aerial vehicles (UAVs). Unlike traditional methods limited to static, spatial path planning, this research integrates 4D spatiotemporal representations, predictive world-models, safety-constrained reinforcement learning, and GPS-independent Vision-Language(-Action) (VLM/VLA) modules. The resulting system aims to achieve safe, efficient, and flexible navigation in dynamic, uncertain environments while addressing regulatory certification requirements.Read more
[2023 – 2024] Research on developing safer and more human-like autonomous driving systems using large language models that learn human driving preferences.Read more
[2025] A novel framework enabling collaborative perception among vehicles with different models by adapting on-the-fly during inference.Read more
[2021 – 2025] We extended the open-source Autoware platform with cooperative perception and maneuver coordination features, enabling next-generation infrastructure-assisted autonomous driving.Read more
[2024 – 2025] Real-time offloading of semantic perception tasks from MR headsets to edge AI accelerators, enabling scene-level understanding and interaction in unstructured environments.Read more
[2023 – 2025] Developing a multipath framework to improve real-time media quality under fluctuating 5G network conditions by leveraging multiple mobile connections simultaneously.Read more
[2023 – 2025] Building a federated learning-based architecture for efficient and secure communication and intelligence in connected autonomous vehicles.Read more
[2021 – 2025] Building a digital twin platform that fuses large-scale geometry, precise positioning, and real-time acoustic simulation to enable responsive 3D audio in urban mixed-reality environments.Read more
[2023 – 2024] Developing a next-generation BIM-based digital twin that fuses building geometry, spatial acoustics, and semantic data for real-to-virtual integration.Read more
[2017 – 2023] A metadata framework to describe and utilize media content with spatial and temporal context, enabling interactive and reusable applications.Read more
[2019 – 2020] Designing and deploying networked RSPUs to enable infrastructure-driven cooperative perception for safe and efficient autonomous driving.Read more
[2014 – 2019] A programmable media platform enabling immersive and interactive live experiences through networked control of spatial audiovisual environments.Read more
We are part of the University of Tokyo’s Graduate School of Information Science and Technology, Department of Creative Informatics and focuses on computer networks and cyber-physical systems
Address
4F, I-REF building, Graduate School of Information Science and Technology, The University of Tokyo, 1-1-1, Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
Room 91B1, Bld 2 of Engineering Department, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
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