A Landscape View of Robotic Skills, Agents, and the Architecture (medium.com)

The Telekinesis team has unveiled a comprehensive architecture for their Physical AI stack, focusing on the integration of robotic skills, agents, and a robust Skill Library. This innovative framework, referred to as the Agentic Physical AI stack, aims to enhance real-world robotics applications by providing a modular and scalable environment for engineers to develop and deploy robotic systems. The Skill Library is organized into distinct groups catering to vital robotics domains, including perception, motion, and reasoning, facilitating easier integration of capabilities without the hassles of fragmented libraries. This development is significant for the AI/ML community as it addresses the complex challenge of creating practical, capable robots that can perceive their environment, make decisions, and execute actions. The Telekinesis stack leverages advanced techniques, such as Vision-Language-Action (VLA) models and reinforcement learning, to create a new paradigm in Physical AI. With its cloud-hosted architecture, accessible via a standard REST API, developers can easily import modules for tasks like object detection, 3D point cloud processing, and motion planning, thereby streamlining the development process in robotics and paving the way for more sophisticated AI applications in various industrial contexts.