刚入学，导师让我从0开始研究具身智能方向......

Core Viewpoint - The article discusses the advancements in embodied intelligence algorithms and their market potential, emphasizing the need for further research and development in this field [1][2]. Group 1: Technological Advancements - Embodied algorithms have improved global perception capabilities, transitioning from traditional pipeline solutions to end-to-end models [1]. - Navigation tasks have shifted from mapping and localization to target navigation using large model-based, map-free solutions [2]. Group 2: Market Potential and Challenges - The market size and capacity for embodied intelligence are larger than other fields, but many unresolved issues remain, requiring collective effort [2]. - The short development time of embodied intelligence has led to a lack of systematic approaches and pathways for newcomers [2]. Group 3: Educational Initiatives - The company has developed several courses in the embodied intelligence field to address the lack of structure and guidance for learners [2]. - A community has been established to facilitate learning and collaboration among individuals interested in embodied intelligence [2]. Group 4: Course and Community Highlights - The learning path is systematized to help users avoid common pitfalls and quickly get started [6]. - The program includes a variety of practical robotics projects, combining simulation and real machine practice [6]. - Live interactions with industry experts and researchers are available, along with permanent access to recorded sessions and shared source code [7].