This role is centered around the development of our custom-built "Ghost" robot, designed specifically to automate retail operations in Japanese convenience stores. The robot performs pick-and-place operations without human intervention, aiming to achieve a high level of autonomy and operational reliability.
The core responsibility of this role is to improve and expand the robot's perception capabilities—particularly through the development of vision-based systems that enable it to understand and act within complex, dynamic store environments. This includes leveraging sensor data (e.g., RGB, depth, and other modalities) collected from robots already deployed in real-world settings to enhance the performance of the perception system. The work involves researching, refining, and implementing new perception algorithms to further improve success rates while also ensuring that deployed models are optimized and compressed to run efficiently on the system’s constrained hardware.
We strongly believe that our Ghost robot has the potential to reshape the retail landscape in Japan and beyond, and we would be thrilled to work with someone who shares that vision and excitement.