人形机器人十大趋势

人形机器人十大趋势展望10 Trends of Humanoid Robots 人形机器人专属部组件与材料 Exclusive Components and Materials for Humanoid Robots 高爆发电机、高算力芯片、精密减速器、高精度传感器、长续航电池等核心零部件，将构筑起更加稳定、高性能的人形机器人硬件系统 High-explosion motors, high-computing power chips,high-precision reducers and sensors, and long-endurance batteries, will construct a more stable andhigh-performance hardware system for humanoid robots. 人工智能赋能人形机器人设计AI for Design of Humanoid Robots2 p基于神经网络、图语法、进化算法等人工智能技术，将能够根据场景和任务需求，自动构建人形机器人的腿足、手臂、躯干等模块，实现形态和控制的协同优化 Based on technologies of artificial intelligence such asneural networks, graph grammars and evolutionaryalgorithms, it would be possible to automaticallyconstruct modules of humanoid robots such as legs,arms and torso according to the requirements of thescene and tasks, which will achieve a synergisticoptimization of form and control. 人形机器人运动智能 Motion Intelligence of Humanoid Robots 复杂地形行走：有望适应为人类搭建的斜坡、阶梯、门槛等复杂地形和狭窄环境，实现稳定、自适应、抗干扰的行走Walking on Complex Terrains:Humanoid robots are expected to adapt to complex terrains and narrow environments built for humans, such as slopes, steps and thresholds,achieving stable, adaptive, and anti-interference walking. 双臂协同操作：在下半身抖动的情况下，将通过双臂协作，使用人类的工具和装备，完成高性能操作任务Cooperative Operation of Dual-arm:In the case of unstable lower body, humanoid robots are expected to complete high-performance operation tasks with collaborative dual-arm using human tools and equipment. “软补硬”技术：在硬件性能欠佳和传感信息匮乏时，将通过软补硬技术系统寻找和充分利用环境和信息约束，弥补硬件的不足，实现高水准的任务执行Compensation for Hardware with Software:When the hardware performance of humanoid robots is subpar and the sensory information is lacking, this technologysystematically seeks and fully utilizes environmental and information constraints tocompensate for the performance of hardware, achieving high-level task execution. 人形机器人多模态大模型 Multimodal Large Model for Humanoid Robots p将能够通过融合语音、图像、文本、传感信号、3D点云等多模态信息，为人形机器人的感认知和决策规划提供了更强的多模态理解、生成和关联能力，提升在复杂场景任务中的泛化能力Multimodal Large Modelwill enable the integration of multimodal informationsuch as voice, images, text, sensorsignals, and 3D point clouds, providinghuman o id ro b o t s w it h en h a n cedmultimodal understanding, generation,a n da s s o c i a t i o n c a p a b i l i t i e s f o rperception, cognition, and decision-making. It will also improve theirgeneralizationability in complexscenarios and tasks. 人形机器人大规模数据集 Large-Scale Dataset for Humanoid Robots p基于仿真合成或实体机器人采集，构建大规模、标准化的人形机器人数据集，有利于提高人形机器人本体设计、仿真训练和算法迁移的能力Constructinglarge-scale, standardized datasets for humanoid robotsbased on data collected from simulation synthesis or physical robots is beneficial for enhancing the capabilities of body design, training in simulation, and algorithm transfer forhumanoid robots. 实体机器人数据集 仿真合成数据集 Dataset from Simulations Dataset from Physical Robots 人形机器人具身智能Embodied Intelligence for Humanoid Robots p具身智能是可以在高变化下做出迅猛、精准反应的高质量、高性能智能系统；既不是单纯的虚拟环境下的计算机仿真，也不是完全偏于物理空间的机电系统，与人形机器人系统紧密相关Embodied intelligencerefers to ahigh-quality, high- performance intelligent systemcapable ofmakingrapid and precise responses in highly variableconditions. It is neither a mere computer simulation in avirtual environment nor an entirely mechanical-electricalsystem focused solely in physical space; rather, it isclosely related to humanoid robot systems. 受人体结构和神经机制启发的人形机器人Humanoid Robots Inspired by Human Anatomy and Neural Mechanisms7 p不同于现有人形机器人研究中的大部分方法从外向内地模拟人的功能，从内向外地模拟人的肌肉骨骼系统和神经机理，探索人类实现高灵巧、高柔顺、高智能行为的本质机理。作为人形机器人研究的新途径，有望搭建更接近人的高效稳定系统Unlike most existing algorithms in humanoid robot research that simulate human functionsfrom the outside in, this approach simulates thehuman musculoskeletal system and neuralmechanismsfrom the inside out, exploring theessential principles supporting humans toachieve highly dexterous, compliant, andintelligent behaviors. As anew avenue inhumanoid robot research, it aims to build amore efficient and stable system that closelyresembles human capabilities. 人形机器人开源社区8Open Source Community for Humanoid Robots p将在全球范围内聚集人形机器人领域专家学者，促进技术研讨、信息交流和多方合作，助力产业链上下游的深度融合与协同发展Global experts and scholars in the field of humanoid robots will be gathered to promote technical discussions,information exchange, and multi-party cooperation,fostering deep integration and coordinated developmentof the entire industrial chain. 人形机器人大工厂‘Manufactory’ of Humanoid Robots p将在软件环境打通基于分析技术和大模型的本体设计-控制-智能算法研发，根据性能需求快速、定制化地设计和加工高质量、智能人形机器人系统，通过软硬一致性和新型零部件研发，实现硬件系统及其验证The process of bodydesign, control, and intelligent algorithm development based on analytical techniques and large language models will be integrated within a unified software environment. This will enable therapidandcustomizeddesignandmanufacturingofhigh-quality, intelligent humanoid robot systemsbased on performance requirements,and realize hardware systems and their validation through software-hardware consistency and development of newcomponents l快速生成控制系统（小脑）：构建机器人库和控制算法库，实现Sim2Real和软补硬； lGeneration of Intelligent Systems (Brain):Develop intel