1、 全球首个人形机器人智能化分级新团标发布 近日，由北京人形机器人创新中心牵头，联合上海人形机器人创新中心、浙江人形机器人创新中心，以及 优必选、宇树科技、中国信通院和工联院等主流企业及科研院所共同制定了全球首个《人形机器人智能化 分级》（T/CIE 298-2025）团体标准，并在中国电子学会正式发布。据介绍，新团标通过借鉴自动驾驶、 工业机器人等分级逻辑，并针对人形机器人的特殊性进行了创新，构建形成 "四维五级" 的评价框架。包 括"感知认知（P）、决策学习（D）、执行表现（E）、协作交互（C）" 为核心的四大能力维度，并构建 L1-L5 五级智能化能力分级体系。从 L1 至 L5，人形机器人智能化能力水平逐级递增。标准同步给出了22 个一级指标、100余项技术条款、通用安全底线及典型应用场景映射，可为企业开展产品设计、性能对标 和能力声明提供直观参照。 2、 小鹏汽车计划明年推出第五代人形机器人 5月21日晚间，小鹏汽车董事长、CEO何小鹏在2025年第一季度财报电话会议上表示，小鹏目标在2026年 内能够推出面向工业和商业场景的人形机器人。根据规划，小鹏第五代机器人将搭载图灵芯片，提高机器 人的端侧 ...

Core Viewpoint - K-Scale Laboratory has launched a new low-cost open-source bipedal robot, K-Bot, priced at $8,999, which aims to provide developers with a flexible research platform and reduce the burden of system configuration [2][3][19]. Group 1: Product Features - K-Bot is larger than the previously released Zeroth 01 Bot, standing at 1.40 meters and weighing approximately 34.9 kilograms, featuring a dexterous end-effector for enhanced flexibility and operational capability [3][19]. - The robot is equipped with 120N/m joint motors, ensuring precise and powerful movements, and utilizes a modular design for better customization and task adaptability [3][5]. - K-Bot's onboard computer supports complex machine learning applications, enabling the use of reinforcement learning (RL) control methods and advanced AI/ML models [3][5][6]. Group 2: Software and Development - The robot's system is developed using K-OS with Rust language, known for its speed and reliability, and includes a Python SDK for developer convenience [5][6]. - K-Sim, a high-performance reinforcement learning framework optimized for humanoid robots, is integrated into K-Bot, supporting GPU-accelerated training with sample processing speeds exceeding 100,000 per second [6][7]. - Strategies trained in simulated environments can be directly deployed to the physical robot without code rewriting, facilitating seamless transitions from simulation to real-world applications [7][19]. Group 3: Company Background - K-Scale Laboratory was established in early 2024 in New York and secured $500,000 in seed funding from Y Combinator, a prominent startup incubator [8][10]. - The team comprises experienced professionals from Tesla and Meta AI, with expertise in robotics and machine learning, including CEO Benjamin Bolte and CTO Paweł Budzianowski [10][12][14]. - The laboratory focuses on creating an open-source AI platform for robotics, aiming to democratize access to humanoid robot technology and attract more developers to the field [16][19]. Group 4: Future Plans - K-Scale Laboratory has expressed its ambition to enable the ownership of 1 billion humanoid robots worldwide and promote the widespread adoption of humanoid robot technology through its open-source platform [19]. - The K-Bot founder's edition is available for pre-order with a $100 deposit, with delivery scheduled for July 2025 [21].

朋友们， 人形机器人 蓬勃发展、 具身智能 方兴未艾……城市间的科技竞争同样激烈白热。 而 上海 ，这座融合 金融、贸易、航运 多元优势的国际化大都市，正悄然在 科技 创新版图上刻下浓墨重彩 的一笔。 世界人工智能大会侬晓得伐？中国最具影响力的 AI盛会，已成为上海科技名片。 而现在，一场机器人领域的国际级科技盛会即将登场 —— 5月29日，2025张江具身智能开发者大会暨国际 人形机器人技能大赛 将在浦东张江科学会堂隆重启幕。 这场集 " 峰会 +大赛+展览 " 于一体的盛会，将汇聚全球人形机器人领域的顶尖力量： 大会期间， 《具身智能产业高质量发展若干政策措施》、创新中心联盟、智元机器人开源平台以及张江具身 智能基金等重大举措将集中发布 ，为产业发展注入强劲动能，加速人形机器人技术从实验室走向实际应用场 景。 200余家人形机器人产业链企业参会 1000余位 院士、 行业专家和开发者共襄盛举 5大赛道国际人形机器人技能大赛全面竞技 1场搭建全要素对接平台的主论坛 10场开发者论坛深度研讨前沿技术 3000平方米展区展示创新成果 ▍ 张江：悄然崛起的人形机器人产业高地 张江科学城作为具身智能创新高地，正依托 ...

Core Viewpoint - SLABOR Top Configuration Robot has successfully completed a seed round financing, raising several tens of millions of yuan, which will be used for technology iteration, product series improvement, and market expansion [1]. Group 1: Company Overview - SLABOR Top Configuration Robot, established in 2016, is a high-tech enterprise specializing in the research and application of robotic technology focused on screw fastening processes [1][3]. - The company aims to provide highly integrated and cost-effective automation solutions for industrial manufacturing enterprises, facilitating the intelligent upgrade of the industry through continuous innovation and efficient service [1]. Group 2: Team and Expertise - The core team of SLABOR consists of a professional R&D team from renowned companies and Japanese research teams, with R&D and application support personnel accounting for 60% of the workforce [3]. - The R&D team has extensive experience in screw fastening scenarios and possesses full-stack technical ownership in automated screw fastening and tightening processes [3]. Group 3: Product Development and Business Expansion - SLABOR focuses on medium to large-scale industrial manufacturing enterprises, developing various high-speed, high-precision, and cost-effective robots for different manufacturing scenarios, including cylinder blow-type screw tightening robots and online/offline tightening workstations [5]. - The company's products, including intelligent screw fastening robots, glue dispensing robots, labeling robots, and flexible feeding assembly robots, are already in service at several Fortune 500 companies and top domestic enterprises such as BYD Auto and Midea Group [7].

农业作为基础产业，正面临劳动力短缺与可持续发展双重挑战。随着城市化进程推进，农村劳动力持续外流， 人工成本逐年攀升。与此同时，化学农药的过度使用带来的环境污染与食品安全问题也日益凸显。 在此背景下，农业机器人技术被视为行业转型的重要方向，而仿生机器人凭借其特殊形态与运动能力，在复杂 农业场景中展现出独特优势。 ▍ 从实验室走向田间： GCR 仿生机器人的产业化突破 在佐治亚州的葡萄园与蓝莓田中，一群形似巨型蜈蚣的机器人正悄然改变着传统农业的面貌。这些机器人虽没 有炫酷的外形与复杂的传感器阵列，却能够精准执行杂草识别与清除任务，为现代农业领域中的人力短缺与化 学农药依赖这两大难题提供创新解决方案。这些 来自 Ground Control Robotics （ GCR ）的首款商用仿 生多足机器人 ，正标志着仿生机器人发展历程中的一个重要转折点 —— 从实验室的表演性展示走向实际生 产场景的规模化应用。 过去 20 年，仿生机器人领域 研究成果颇丰 ，形态各异的机器蛇、机器鱼等产品层出不穷。然而，这些成果 在产业化过程中普遍遭遇了性能成本失衡、场景适配不足以及维护复杂等问题。高性能的仿生设计往往导致生 产成本居高 ...

Core Viewpoint - The article emphasizes the significance of dexterous hands in humanoid robots, highlighting their role as the "last centimeter" that enables robots to adapt to various environments and perform tasks similar to humans. The dexterous hand industry is still in its infancy, facing numerous technical challenges and high costs, which hinder rapid market development [1]. Company Overview - Zhejiang Dexterous Intelligent Technology Co., Ltd. (referred to as "Dexterous Intelligent") was established in 2024 and quickly gained attention in the industry. Within 10 months, the company launched the DexHand021 concept model and subsequently the mass production version, marking a significant transition from concept to commercialization [2]. - The founding team of Dexterous Intelligent consists of experienced entrepreneurs with 15-20 years of expertise in their respective fields, fostering a strong and efficient decision-making core [2][3]. Founders and Team - Dr. Xu Chunshan, the founder and chairman, is a seasoned expert in robotics, having previously co-founded a successful robotics company that went public within four years. He identified the bottleneck in the industry related to dexterous hands and operations, leading to the establishment of Dexterous Intelligent [3]. - Dr. Zhou Chen, the co-founder and CEO, has a strong research background and experience in corporate mergers and acquisitions. He returned to the robotics field to co-found Dexterous Intelligent [4]. - Dr. Zhu Haohua, the co-founder and CTO, has extensive experience in high-difficulty industrial product development and has integrated a core technology team into Dexterous Intelligent [6]. Technological Breakthroughs - Dexterous Intelligent has made significant advancements in two core technologies: transmission and perception. The company has innovatively adopted rope-driven technology, mimicking human muscle-tendon dynamics, which offers advantages such as reduced energy consumption and compact structure [8][9]. - The company utilizes capacitive sensors at the fingertips of its dexterous hands, enhancing the ability to perceive object positions and adjust grip strength accordingly, improving operational stability [11]. Product Offerings - The mass-produced DexHand021 is priced under 100,000 yuan, providing a competitive edge compared to international counterparts. The company aims to reduce prices further as production scales, with a target price of 10,000 yuan upon reaching sales of 10,000 units [13][17]. - Dexterous Intelligent's product lineup includes the DexHand021, a three-finger version for specific applications, and a high-end version for research institutions and large enterprises, showcasing the company's technological capabilities [14]. Industry Development Initiatives - Dexterous Intelligent has taken the initiative to establish a dexterous hand industry alliance to promote healthy industry development and facilitate technology exchange. This alliance aims to accelerate the commercialization of dexterous hand technology across various sectors [19].

Core Viewpoint - The 2025 Zhangjiang Embodied Intelligence Developer Conference and International Humanoid Robot Skills Competition will take place on May 29 in Shanghai, focusing on "open source, openness, and innovation" with over 200 leading companies and 1,000 experts and developers participating [1]. Group 1: Event Overview - The conference will feature a summit, competitions, and exhibitions, aiming to build an ecosystem for humanoid and embodied robot industries [1]. - The exhibition will cover four main areas: embodied intelligence, developer ecosystem, humanoid robot industry chain, and humanoid robot bodies, showcasing the application results of humanoid robot technology [1]. Group 2: Participating Companies and Innovations - Major companies like Kepler Robotics, Zhuoyide Robotics, and Magic Atom have confirmed participation, showcasing advancements in humanoid robots [2]. - Kepler's K2 "Bumblebee" features 52 degrees of freedom, high load capacity, and long endurance, capable of lifting 30kg and operating for 8 hours on a single charge [5][6]. - Zhuoyide's "Walker II" is the world's first modular humanoid robot based on bionic tendon drive technology, with a weight of 30kg and energy consumption reduced by 25% compared to competitors [7]. Group 3: Technological Advancements - The conference highlights the role of embodied intelligence in achieving autonomous decision-making and efficient interaction with environments, with significant investments from Chinese tech companies [14]. - Innovations in core components, such as sensors and actuators, are crucial for the development of humanoid robots, with domestic companies showing competitive capabilities [18]. Group 4: Future Directions - The event aims to present a complete innovation chain and ecosystem for China's humanoid robot industry, marking a shift from being a follower to a rule-maker in the global market [27].

1、 OpenAI力挺的开源人形机器人发布，售价不到9000美金 近日，被OpenAI看中的开源人形机器人公司推出了首款人形机器人K - Bot创始人版，这款机器人售价不 到9000美金，折合人民币6万多。K - Bot创始人版作为Kscalelabs的首款产品，从外观和基础参数来看， 它高1.4米，重35公斤，身形比例与人相近。头部搭载的互动屏幕，能显示各种信息，与用户进行直观的 交互，支持AI对话等智能交互功能。在行动能力方面，K - Bot配备了模块化配件与强力执行器；抓取物 品时，可以拿起钥匙或更大的物体；操作工具时，展现出了高度的协调性和适应性，能够完成一些简单的 任务，比如使用螺丝刀拧螺丝、拿起画笔涂鸦等。 2、 普林斯顿大学研发会旋转的"超材料机器人" 近日，美国普林斯顿大学Glaucio H. Paulino等研究者从传统折纸艺术中汲取灵感，创造出一种被称为"超 材料机器人"（metabot）的结构。它们依靠单元格的"手性"特性，只需接受电磁场的指令，就能远程控 制，展现出复杂的扭动、收缩等灵动动作。具体来说，他们利用手性超材料单元模块，通过单自由度驱动 将线性运动转化为旋转运动。该组件可以在 ...

Core Viewpoint - The article highlights the launch of the X-Humanoid training toolchain by Beijing Humanoid Robotics Innovation Center, aimed at enhancing the efficiency of using the RoboMIND dataset and the "Tiangong" humanoid robots for developers in the field of embodied intelligence [1][2][6]. Group 1: RoboMIND Dataset and "Tiangong" Robots - The RoboMIND dataset features over 100,000 trajectories and 479 cross-scenario tasks, making it one of the most downloaded datasets on platforms like HuggingFace [1]. - The "Tiangong" humanoid robots serve as an optimal hardware platform for developers to validate embodied intelligence algorithms through open-source URDF models and ROS control stacks [1]. - The need for a seamless conversion between RoboMIND data formats and mainstream training frameworks has been identified, leading to the development of the X-Humanoid training toolchain [1][2]. Group 2: X-Humanoid Training Toolchain - The X-Humanoid training toolchain is designed to facilitate efficient data usage and robot development, addressing the high adaptation costs due to diverse data sources and formats [2]. - It integrates different frameworks and hardware resources, providing a unified development interface that simplifies the development process [2]. - The toolchain allows users to convert datasets into the LeRobot format and provides a comprehensive guide for developers to efficiently manage the data preprocessing and model training processes [6][9]. Group 3: Future Developments and Community Engagement - The X-Humanoid training toolchain will continue to evolve, supporting more advanced algorithms and enhancing the operational capabilities of the "Tiangong" robots in diverse scenarios [6]. - The company emphasizes its commitment to open-source culture and ecosystem development, aiming to lower development barriers and stimulate innovation in the field of embodied intelligence robotics [7]. - Developers are encouraged to join the community to discuss and promote innovations in embodied intelligence robotics technology [7][8].

Core Insights - Qianjue Technology, a company focused on embodied intelligence, recently completed a Pre-A+ round of financing, raising several hundred million yuan, with investments from notable firms including Junshan Investment and Vertex Ventures [1][3][7]. Company Overview - Founded in 2023, Qianjue Technology is a Tsinghua University incubated company specializing in embodied intelligence technology, with a team primarily composed of graduates from Tsinghua University's Automation Department [3][4]. - The company is recognized as the only domestic counterpart to U.S. Physical Intelligence companies, having achieved practical long-term task execution capabilities in real-world scenarios [3][4]. Technology and Innovation - Qianjue Technology's proprietary "embodied brain" system emphasizes multi-modal real-time perception and autonomous execution without relying on pre-set strategies, aligning closely with Physical Intelligence's π0.5 model [4][5]. - The system has demonstrated capabilities in complex environments, showcasing its ability to adapt to various hardware forms and execute tasks autonomously for extended periods [4][5]. Commercialization Progress - The embodied brain technology has been successfully implemented in various applications, including home services, logistics, and commercial operations, with partnerships established with leading robotics manufacturers and tech companies [7]. - The company is also developing the world's largest pure real-sampling home scene dataset, enhancing its model training and demonstrating strong adaptability across tasks [7]. Future Prospects - With the completion of the latest financing round, Qianjue Technology aims to accelerate technological advancements and product deployment, promoting the widespread adoption of embodied intelligence [7].