四足机器人(机器狗)

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宇树科技开启上市辅导备案 王兴兴控制34.763%股权
Zhong Guo Jing Ying Bao· 2025-07-18 16:19
Core Viewpoint - Yushutech, a leading company in the embodied intelligence sector, is preparing for its IPO after completing a series of corporate changes and securing significant funding from major investors [1][2][3] Company Overview - Yushutech was founded in 2016 and initially focused on quadruped robots, later expanding into humanoid robots with the launch of H1 and G1 models in 2023 [1] - The company is controlled by its founder and CEO, Wang Xingxing, who holds 23.82% of the shares directly and an additional 10.94% through a partnership, totaling 34.76% [1] - Yushutech reported revenue exceeding 1 billion yuan in the previous year [1] Recent Developments - In May 2023, Yushutech transitioned from a limited liability company to a joint-stock company and completed a C+ round financing of nearly 700 million yuan in June, with investments from major firms like China Mobile, Tencent, Alibaba, Ant Group, and Geely [2] - Following this financing round, the company's valuation surpassed 10 billion yuan [2] Market Context - The current trend in the humanoid robot sector shows a surge in IPO pursuits among leading companies, indicating a strong market interest and the necessity for funding to navigate potential future challenges [2][3] - Experts suggest that the timing for Yushutech's IPO is optimal, as it allows the company to capitalize on current market enthusiasm and secure funds for ongoing development [3]
2025年全国低碳日主场活动在杭启幕
Hang Zhou Ri Bao· 2025-06-26 02:47
Core Viewpoint - The event held in Hangzhou emphasizes the importance of green and low-carbon development as a crucial part of China's economic and social planning, advocating for collective action to combat climate change and promote sustainable practices [4][5]. Group 1: Green Low-Carbon Development Initiatives - China has implemented a comprehensive "1+N" policy framework to achieve carbon peak and carbon neutrality, focusing on energy structure adjustment, carbon market establishment, and enhancing carbon sink capabilities [4]. - The event featured the release of significant reports, including the "2025 Product Carbon Footprint Management System Progress Report" and the "2024 China Climate Change Adaptation Progress Report," highlighting advancements in carbon management [5]. - Zhejiang province showcases successful green transformation initiatives, such as converting bamboo into carbon sinks and recycling plastic bottles into high-end products, demonstrating that green transformation is a core driver of high-quality development [5][7]. Group 2: Technological Innovations in Low-Carbon Development - Hangzhou has introduced innovative technologies like quadruped robots for environmental monitoring, significantly reducing carbon emissions and enhancing emergency response efficiency [8][9]. - The city has achieved a notable reduction in energy consumption, with GDP energy consumption dropping to 0.25 tons of standard coal, while the share of non-fossil energy continues to rise [9]. - The establishment of a comprehensive intelligent monitoring network in Yuhang district integrates AI and environmental governance, promoting effective pollution reduction and carbon management [10]. Group 3: Community Engagement and Sustainable Practices - The event encourages community participation in low-carbon practices, with initiatives like household waste recycling carbon reduction accounting systems and carbon accounts for residents [10]. - The promotion of green consumption is evident, with products like West Lake Longjing tea and Qiandao Lake water receiving carbon labels, reflecting a growing trend towards sustainable consumer choices [9]. - Yuhang district has developed a low-carbon international community, integrating low-carbon principles into urban planning and fostering a collaborative approach to environmental protection [10].
打破室外全域工作“盲区”!广和通双目视觉算法将赋能云深处科技机器狗“慧眼”
机器人大讲堂· 2025-05-15 11:10
Core Viewpoint - The collaboration between Guanghetong and Yundenchu Technology aims to enhance outdoor navigation and positioning accuracy for quadruped robots through the integration of advanced AI visual algorithms and hardware solutions [1][6]. Group 1: Technical Innovations - The dual-camera visual module RV-BOT developed by Guanghetong significantly improves positioning accuracy in outdoor environments, addressing the challenges of single-sensor reliance in quadruped robots [1]. - The multi-modal data fusion algorithm combines visual feature point matching with satellite positioning data for real-time calibration, ensuring centimeter-level continuous positioning even in areas with limited satellite signals [1]. - A deep learning-optimized stereo matching model identifies typical multipath interference patterns, dynamically correcting RTK positioning errors to enhance robustness in complex scenes [2]. - Edge computing capabilities allow for real-time image processing on-site, reducing latency and ensuring the efficiency and safety of the robotic systems [3]. Group 2: Application Areas - The quadruped robot equipped with Guanghetong's dual-camera visual algorithm is expected to excel in various fields, including industrial inspection, disaster rescue, and urban services [4]. - In industrial inspection, the robot can autonomously navigate unstructured terrains, accurately identify equipment status, and improve the reliability and coverage of inspection tasks [4]. - In disaster rescue scenarios, the depth perception capabilities of the dual-camera system will assist rescue personnel in conducting reconnaissance in hazardous environments [4]. - The algorithm's ability to predict the trajectories of moving obstacles will facilitate safe autonomous transportation of goods in high-traffic urban settings [4]. Group 3: Industry Implications - The collaboration highlights the potential for synergistic innovation between AI visual algorithms and robotic hardware, paving the way for new possibilities and breakthroughs in the intelligent robotics industry [6]. - The application of Guanghetong's dual-camera visual algorithm provides a new approach to outdoor positioning for quadruped robots, supported by an edge-cloud collaborative architecture that optimizes computational power while maintaining low energy consumption [6]. - The deep coupling of dual-camera vision and motion control transforms quadruped robots from mere execution tools into intelligent entities capable of interacting with their environments, which is expected to drive further exploration of visual algorithm integration in the industry [6].