Core Viewpoint - The humanoid robot industry is experiencing rapid advancements, particularly in the area of "human-like autonomous decision-making," driven by technological deepening and practical applications [1][2][3] Group 1: Technological Breakthroughs - Figure's humanoid robot has demonstrated significant progress in walking technology, showcasing the ability to navigate complex environments without visual input [1] - The robot's walking stability has improved through reinforcement learning, achieving superhuman performance in certain areas [1] - The introduction of the new Helix walking controller and the ability to autonomously fold clothes highlight the robot's advanced skill set and adaptability [1][2] Group 2: Technical Evolution - The evolution of humanoid robots is moving from motion control and perception interaction to multi-scenario adaptability, requiring high precision in environmental perception and force control [2] - Key technologies such as tactile feedback, algorithms, and data accumulation are crucial for expanding the robot's skill set, enabling dynamic decision-making and precise force control [2] Group 3: Industry Dynamics - The industry is expected to maintain a dual-driven momentum of "technological deepening" and "scene implementation," with a collaborative upgrade path involving brain, algorithms, data, and components [3] - Humanoid robots are gradually penetrating from industrial applications into household scenarios, indicating a potential expansion of their capabilities [3]

Core Insights - The humanoid robot industry is rapidly advancing towards "human-like autonomous decision-making" driven by technological deepening and scene implementation [1][2][3] Group 1: Technological Breakthroughs - Figure showcased a humanoid robot's ability to walk without visual input, demonstrating significant advancements in walking technology through reinforcement learning [1] - The new Helix walking controller was tested, and Figure previously demonstrated the ability to autonomously fold clothes, highlighting the technology's generalization capabilities [1][2] Group 2: Industry Trends - The humanoid robot sector is evolving from single-task execution to multi-scenario adaptability, with increasing demands on environmental perception, force control precision, and motion planning [2] - The ability to walk with eyes closed requires precise integration of inertial measurement unit (IMU) data and joint position feedback, achieving centimeter-level motion error correction [2] Group 3: Future Outlook - The industry is expected to maintain a dual-driven momentum of "technological deepening" and "scene implementation," with a collaborative upgrade path involving brain, algorithms, data, and components [3] - The application of humanoid robots is gradually expanding from industrial settings to household scenarios, indicating a potential for continuous capability enhancement [3]