Empowering Virtual Agents With Intelligent Systems

While embodied AI is commonly understood as general-purpose intelligence that empowers various forms of robotics,9 we believe that its scope extends significantly beyond robotic platforms alone. Embodied AI, as we define it, refers to intelligent systems capable of learning from and actively interacting with their environments, continuously adapting based on real-time sensor feedback and context-driven decision-making. Specifically, we define Environmental Embodied AI as an intelligent virtual agent capable of real-time perception, learning, and interaction with its surrounding environment through sensor inputs, enabling it to actuate environmental elements, e.g. Distinct from traditional embodied AI systems primarily associated with robotic platforms, Environmental Embodied AI specifically emphasizes non-robotic applications, employing virtual agents to directly influence physical or operational states within environments. These intelligent systems autonomously analyze environmental data, dynamically adapting behaviors to optimize outcomes and significantly reduce ecological footprints, inherently supporting environmentally sustainable practices.