X Square Robot has introduced an open embodied AI stack designed to unify robot learning data, a world model for predicting physical changes, and an action model that integrates perception, planning, reasoning, and decision-making to generate executable robot behavior. According to the company, this stack is intended to support the development of general-purpose robots capable of interacting with their environment effectively. The system is built to provide a cohesive framework for robot learning and action, reducing the complexity of integrating various AI components into robotic systems. The company emphasized that the stack is open, allowing for collaboration and innovation across the robotics community. This development is part of a broader effort to advance embodied AI, where robots can learn and adapt in real-world settings. The stack is expected to streamline the development of advanced robotic applications by offering a unified platform for data, modeling, and action execution. Source: ieee
X Square Robot's open embodied AI stack unifies robot learning data, a world model for predicting changes in the physical world, and an action model that brings together perception, planning, reasoning, and decision-making to generate executable robot behavior. The stack is intended to support the development of general-purpose robots capable of interacting with their environment effectively. According to the company, the system is built to provide a cohesive framework for robot learning and action, reducing the complexity of integrating various AI components into robotic systems. The company emphasized that the stack is open, allowing for collaboration and innovation across the robotics community. Source: ieee
The source text describes X Square Robot's development of an open embodied AI stack that integrates robot learning data, a world model, and an action model. The stack is designed to enable general-purpose robots to interact with the physical world by unifying perception, planning, reasoning, and decision-making processes. Source: ieee