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以“通用语言”破局数据壁垒,灏存科技荣获灵巧手关键奖项
机器人大讲堂· 2025-12-19 08:38
Core Viewpoint - Haocun Technology has won the "Best Adaptation Award for Dexterous Hands" at the LeadeRobot 2025 annual selection, highlighting a significant breakthrough in standardizing motion data and control in humanoid robots, which is crucial for the industry [1][16]. Group 1: Industry Challenges - The global humanoid robot industry faces intense competition, with dexterous hands being critical for executing complex tasks. However, the lack of standardized hardware and control protocols has created "data islands," hindering innovation and efficiency [4]. - The industry is trapped in a cycle of inefficiency, where algorithms developed for specific brands cannot be universally applied, leading to redundant efforts [4]. Group 2: Haocun Technology's Solution - Haocun Technology proposes a "Chinese solution" by creating a "universal language" for human motion data, focusing on the control of physical robots from its inception [4][8]. - The company has developed a proprietary "Motion Neural Central System" that deconstructs complex movements into algorithms, allowing for the automatic adaptation of motion parameters across different dexterous hands [6][8]. Group 3: Technological Impact - This technology significantly reduces research and development costs and adaptation cycles, enabling developers to focus on upper-level algorithms and innovative applications [7]. - Haocun Technology's approach aligns with national strategies to establish a standardized data system for embodied intelligence, addressing the industry's data isolation issues [8]. Group 4: Future Prospects - The demand for high-quality, standardized motion data in the humanoid robot industry is expected to grow exponentially, positioning Haocun Technology at a pivotal point in the industry's development [8][16]. - The company's practices contribute to breaking down data barriers, facilitating knowledge transfer, and accelerating the transition of humanoid robots from laboratories to everyday use [16].
新华网:湖北武汉加速构建人形机器人产业发展生态
Xin Hua Wang· 2025-11-01 02:20
Core Insights - The newly launched robot simulation training facility in Wuhan's Dongxihu District is expected to boost the local humanoid robot industry, featuring a self-developed physics engine for comprehensive technical control [1][2] - The facility serves as a "virtual school" for robots, enabling efficient generation of simulation data to enhance pre-job training and accelerate the evolution of robotic intelligence [2] Industry Development - The establishment of the simulation training center reflects the comprehensive development of Wuhan's humanoid robot industry chain, which includes advancements in complete machine manufacturing and key component production [2] - Wuhan University’s Liu Sheng's team is developing the "Tianwen" series of robots with four automated production lines, while Guanggu Dongzhi Robotics has reached an annual production capacity of 300 units [2] - Key components such as the "motor nerve central system" developed by Haocun Technology achieve a turning accuracy of 0.001 degrees with a delay of only 3 milliseconds, and Huawai Technology has delivered its 2000th humanoid robot electronic skin [2] Application Expansion - Wuhan is actively promoting the application of humanoid robots in various sectors, including automotive, pharmaceutical distribution, and smart home appliances, with multiple demonstration production lines and benchmark factories established in the automotive and 3C manufacturing sectors [5] - The city has built a complete industrial system covering 31 key components of humanoid robots, achieving an industry chain completeness of 85%, with six complete machine enterprises and over 80 core companies [5] - Wuhan plans to establish a 1 billion yuan industrial investment fund to support enterprise development, aiming to form a trillion-yuan humanoid robot industry cluster by 2027 [5]
全国首个自主可控机器人仿真实训场在武汉启用
Di Yi Cai Jing· 2025-10-30 05:34
Core Insights - By 2027, Wuhan's humanoid robot industry is expected to reach a scale of 100 billion, maintaining a global lead in fields such as electronic skin and motion control [6] Group 1: Industry Development - The first fully autonomous and controllable robot simulation training ground in China was inaugurated in Wuhan, breaking the foreign monopoly in robot simulation training technology [1] - The MotrixLab, a self-developed physics engine by Moxianfei Technology, allows for complete autonomy in technology, enabling efficient robot training in various simulated environments [3][4] - The training ground enables robots to learn in high-fidelity scenarios, significantly enhancing data collection efficiency compared to traditional methods [3][4] Group 2: Technological Advancements - MotrixLab's performance is significantly superior, with power consumption being less than one-tenth of foreign competitors, allowing for parallel training of thousands of robots [4] - The simulation training ground can replicate a wide range of environments, from supermarkets to disaster sites, facilitating extensive exploration of applications [4] Group 3: Industry Ecosystem - Wuhan has established a complete industrial chain with 85% coverage of 31 key components, housing six major robot manufacturers and over 80 core enterprises [6] - A 1 billion investment fund will be established to support the humanoid robot industry through technology development, platform construction, and enterprise cultivation [6] - Major companies in the industry, such as Yushu, Ruierman, and Xinghaitu, have already begun testing with MotrixLab, achieving successful results in practical tests [5]
手脑协同,赋能机器进化:灏存科技与灵心巧手携手推进具身智能落地
机器人大讲堂· 2025-10-09 11:44
Core Viewpoint - The strategic partnership between Wuhan Haocun Technology Co., Ltd. and Lingxin Qiaoshou (Beijing) Technology Co., Ltd. aims to integrate Haocun's "Motor Neuron Central System" with Lingxin's advanced dexterous hand technology to overcome technical bottlenecks in humanoid robots' fine operations and intelligent interactions, promoting the large-scale application of embodied intelligence in various sectors such as industry, healthcare, and services [1][6][11]. Technical Integration - The collaboration focuses on deep cooperation in humanoid robot motion control and fine operations, creating a complete technical loop from action decision-making to end execution [1][6]. - Haocun's "Motor Neuron Central System" achieves a precision of 0.001 degrees and a data transmission delay of 3 milliseconds, addressing core challenges in humanoid robot motion control [3]. - Lingxin's Linker Hand series dexterous hands have a freedom degree of 25-30 for the industrial version and up to 42 for the research version, surpassing competitors like the UK's Shadow Hand and Tesla's Optimus Prime [3]. Industry Empowerment - The partnership aims to accelerate the commercialization of humanoid robot technology across diverse scenarios, particularly in industrial manufacturing, healthcare, and domestic services [6]. - Haocun's motion control system combined with Lingxin's dexterous hands will significantly enhance robots' flexibility and precision on assembly lines, with existing collaborations with major industrial players like Foxconn and BYD [6]. - The integration of technologies from both companies represents a crucial pathway for humanoid robots to achieve fine operations, with potential applications in rehabilitation training and high-sensitivity commercial tasks [6][11]. Synergistic Effects - The complementary technologies of both companies create significant synergies, forming a more complete "perception-decision-execution" loop [8]. - Haocun's system acts as the "brain" of the robot, while Lingxin's dexterous hands serve as the "hands," enhancing the robot's capabilities for fine manipulation [8]. - The collaboration aligns with Haocun's strategy to seek partnerships across the industry chain to meet the growing market demand for robotic training [8]. Summary - The partnership between Haocun Technology and Lingxin Qiaoshou reflects a trend in the Chinese robotics industry towards ecological collaboration, aiming to accelerate core technological breakthroughs and industrial applications [11].