CAAI具身智能专委会主任蒋树强：世界模型是智能体进行决策的重要依据

Core Viewpoint - The core discussion revolves around the concept of embodied intelligence, emphasizing the intricate relationship between body, environment, and intelligence, and how these elements collectively contribute to the realization of intelligent systems [4]. Group 1: Embodied Intelligence - Embodied intelligence is defined by three key elements: body, environment, and intelligence, which interact in complex ways to enable intelligent behavior [4]. - The structure and sensory capabilities of the body significantly influence how an intelligent agent perceives and interacts with the world, highlighting the importance of physical attributes such as height and limb structure [4]. Group 2: Large Models in Embodied Intelligence - The training of embodied large models requires the integration of visual, linguistic, and behavioral data, necessitating a unified approach to data, computing power, and algorithms [4]. - The complexity of data in training embodied large models is heightened as it must encompass multimodal information, including behavior, physical parameters, and tactile data [4]. - Challenges remain in the generalization capabilities of embodied large models in real physical spaces, particularly concerning data complexity and sensor differences [4]. Group 3: World Models - World models serve as abstract representations of the real world, encompassing three-dimensional space, dynamic changes, object relationships, and memory, which are crucial for understanding and predicting environmental states [5]. - The relationship between world models and large models, as well as their connection to three-dimensional spaces, presents areas for further exploration [5]. - Current research often relies on simulators to generate data, but aligning virtual environments with real-world physical parameters remains a significant challenge [5].