Thanks to open-source software such as the ROS Navigation Stack, implementing basic autonomous navigation has become increasingly accessible.
However, autonomous mobile robots are still rarely seen in everyday urban life, and many technical and societal challenges remain before full-scale adoption can be achieved.
To address these challenges, repeated field trials are essential.
Autonomous mobility technologies are expected to be applied in various fields, including mobility assistance, delivery, guidance, and security.
This project utilizes the Aomi area as a testing ground for robots, promoting activities aimed at solving these challenges and accelerating their adoption.
In addition to technical issues, we are addressing safety, social acceptance, legal regulations, and the creation of new business opportunities from a multifaceted perspective to advance real-world implementation.
In FY2025, we began trials of close-range monitoring using multiple remotely operated small vehicles. Looking ahead, we aim to implement full-scale remote monitoring and conduct public road trials of legged robots. We will continue to develop advanced autonomous mobility technologies using reinforcement learning and foundation models, aiming to establish systems that can flexibly adapt to diverse situations without extensive manual pre-programming. Ultimately, our goal is to contribute to the realization of a sustainable society where robots are an active part of everyday life.
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