SoftBank / Ritsumeikan University
Digital Infrastructure Development Project for Industrial DX
As part of the research and development of mechanisms to ensure safety and reliability during complex system coordination, we developed AI models related to autonomous mobile robots in collaboration with SoftBank Corp.
This research was conducted at the Ritsumeikan University Osaka Ibaraki Campus as an experimental field, and AI models were built on edge devices based on the robot's running data collected there.
Ritsumeikan University
Voting Advance Application Recommender
Collaboration with the Cyprus University of Technology on the development of a recommendation system for the Voting Advisory Application (VAA) to be used as part of education in Ritsumeikan University.
The VAA system includes a detailed questionnaire on political, social, and economic issues. Voters answer these questions, and the system generates a compatibility score, helping users identify which candidates or parties best align with their views.
Analog Tech K.K.
Implement the same NVIDIA AI model on different platforms
Deep Learning models running on Nvidia Jetson (AT-IPCFG001) were converted to Hailo binary format (HEF), executed on the Hailo RT platform (Hailo8mPCIe-Kit) and compared.
This allowed us to compare the performance and accuracy of AT-IPCFG001 (Jetson) and the automatic Hailo8mPCIe-Kit while proving that the complete code can be executed on the Hailo8mPCIe-Kit.