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自动驾驶之『多模态大模型』交流群成立了!
自动驾驶之心· 2025-06-26 12:56
自动驾驶之心是国内领先的技术交流平台,关注自动驾驶前沿技术与行业、职场成长等。如果您的方向是 具身智能、视觉大语言模型、世界模型、端到端自动驾驶、扩散模型、车道线检测、2D/3D目标跟踪、 2D/3D目标检测、BEV感知、多模态感知、Occupancy、多传感器融合、transformer、大模型、点云处 理、在线地图、SLAM、光流估计、深度估计、轨迹预测、高精地图、NeRF、Gaussian Splatting、规划控 制、模型部署落地、自动驾驶仿真测试、产品经理、硬件配置、AI求职交流 等,欢迎加入自动驾驶之心大 家庭,一起讨论交流! 添加小助理微信加群 备注公司/学校+昵称+研究方向 ...
硕士毕业论文写不出来了怎么办?
自动驾驶之心· 2025-06-26 12:56
点击下方 卡片 ,关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近15个 方向 学习 路线 收到了许多同学在论文发表上的求助,学校绕不开一篇三区论文硕士毕业,没有三篇CCF-A博士都毕不了 业,老师对这个新的方向不熟悉,开展不了工作。一直在为论文选题绞尽脑汁,实验设计总遇瓶颈,写作 逻辑混乱不清,投稿屡屡被拒! 尤其是在前沿且复杂的自动驾驶、具身智能、机器人领域,真的有点力不 从心! 一篇论文往往需要1-2年的时间筹备发出,对硕士来说,基本上贯穿了整个学术生涯。方法错误、走弯路、 无人指点是最消耗时间的!论文发表难,但也不是没有办法,有大佬带队,一年发几篇都很正常。筹备了 好久,我们服务大家的论文辅导正式推出了,面向自动驾驶/具身智能/机器人领域。 我们是谁? 国内最大的AI类技术自媒体平台,IP包含自动驾驶之心/具身智能之心/3D视觉之心等平台,拥有国内最顶 尖的学术资源。深耕 自动驾驶、具身智能、机器人 方向多年。我们深刻理解这些交叉学科的挑战与机遇, 更明白一篇高质量论文对于学生(尤其是硕博生)学业和未来发展的重要性。 我们300+专职于自动驾驶/具身智能方向的老师。来自于全球QS排名前100 ...
ECARX Secures Non-Automotive Customer for its Lidar Solution, Expanding into the High-Growth Robotics Market
Globenewswire· 2025-06-25 07:00
Core Insights - ECARX Holdings Inc. has entered a partnership with a leading robotic lawn mower developer to integrate its lidar technology, marking a strategic move to diversify beyond the automotive intelligence sector [1][5] - The robotics market is seen as a natural extension of ECARX's sensor technology expertise, allowing the company to leverage its automotive R&D investments in high-growth sectors [2][4] - ECARX's proprietary solid-state 3D short-range lidar is designed for high-precision environmental perception, crucial for autonomous robot operations [3] Company Strategy - The partnership aims to validate the application of ECARX's technologies beyond automotive, with plans for global mass production of integrated solutions in 2026 [1][5] - ECARX's approach includes extending its ecosystem to robotics applications, similar to its existing partnerships with 18 automakers across 28 global brands [4] - The company is committed to expanding its presence in robotics and AI sectors through collaborations with industry partners [5] Technology Overview - ECARX's lidar operates at a 905nm wavelength, featuring no mechanical components, which enhances reliability and performance [3] - The lidar system includes a customized large-array addressing VCSEL light source with a 60-meter detection range and a high-resolution SPAD sensor for precise environmental mapping [3] Market Potential - The integration of AI and robotics is accelerating, driven by increased investments from global tech leaders, indicating a shift from concept to real-world applications [2] - This evolution is expected to create a scalable industry with vast market potential, positioning ECARX favorably within the robotics sector [2]
MuJoCo具身智能实战:从零基础到强化学习与Sim2Real
具身智能之心· 2025-06-24 14:29
Core Insights - The article discusses the unprecedented turning point in AI development, highlighting the rise of embodied intelligence, which allows machines to understand language, navigate complex environments, and make intelligent decisions [1][2]. Group 1: Embodied Intelligence - Embodied intelligence is defined as AI systems that not only possess a "brain" but also have a "body" capable of perceiving and interacting with the physical world [1]. - Major tech companies like Tesla, Boston Dynamics, OpenAI, and Google are competing in this transformative field, which is expected to revolutionize various industries including manufacturing, healthcare, and space exploration [1]. Group 2: Technical Challenges - Achieving true embodied intelligence faces significant technical challenges, requiring advanced algorithms and a deep understanding of physical simulation, robot control, and perception fusion [2][4]. - MuJoCo (Multi-Joint dynamics with Contact) is identified as a key technology in this domain, serving as a high-fidelity training environment for robot learning [4][8]. Group 3: MuJoCo's Role - MuJoCo allows researchers to create realistic virtual robots and environments, enabling millions of trials and learning experiences without the risk of damaging expensive hardware [6][4]. - The simulation speed can be hundreds of times faster than real-time, significantly accelerating the learning process [6]. - MuJoCo has become a standard tool in both academia and industry, with major companies utilizing it for robot research [8]. Group 4: Practical Training - A comprehensive MuJoCo development course has been designed, focusing on practical applications and theoretical foundations, covering topics from physical simulation to deep reinforcement learning [9][10]. - The course is structured into six modules, each with specific learning objectives and practical projects, ensuring a solid grasp of the technology stack [13][16]. Group 5: Project-Based Learning - The course includes six progressively challenging projects, such as building a robotic arm control system and implementing vision-guided grasping [19][21]. - Each project is designed to reinforce theoretical concepts through hands-on experience, ensuring participants understand both the "how" and "why" of the technology [29][33]. Group 6: Target Audience and Outcomes - The course is suitable for individuals with programming or algorithm backgrounds looking to enter the field of embodied robotics, as well as students and professionals interested in enhancing their practical skills [30][32]. - Upon completion, participants will have a complete technology stack in embodied intelligence, gaining advantages in technical, engineering, and innovation capabilities [32][33].
银河通用获11亿元融资创纪录,机器人行业关注其与宇树技术和资本结合可能性
Tai Mei Ti A P P· 2025-06-23 04:51
Core Insights - The article highlights the significant financing round of 1.1 billion RMB (approximately 160 million USD) completed by Beijing Galaxy General Robotics, marking the largest single financing in the humanoid robot and embodied intelligence sector to date [2][5] - Galaxy General has raised over 2.4 billion RMB (approximately 340 million USD) since its establishment two years ago, with a projected valuation of 1 billion USD by mid-2025 [2][3] - The company focuses on high-value scenarios, emphasizing the cost-saving potential of their robots, which can replace human labor costs significantly [2] Financing Overview - Galaxy General Robotics secured seed funding shortly after its establishment, followed by a series of financing rounds, including 700 million RMB in angel funding and 500 million RMB in strategic funding [3] - The latest round of financing involved prominent investors such as CATL Capital and various national and local funds, indicating strong market interest and confidence in the company's potential [3][5] Technological Developments - The company announced the launch of OpenWBT, the world's first fully open-source, multi-model humanoid robot remote operation system, in collaboration with Tsinghua University [4] - Galaxy General's Galbot has been enhanced with a new end-to-end VLA model, improving its scalability and generalization capabilities [4] Commercial Applications - Galaxy General introduced the world's first humanoid robot smart retail solution, capable of managing a wide range of products in automated stores, with plans to deploy in 100 stores nationwide by the end of the year [4] - A joint venture with Bosch Group aims to explore commercial applications of embodied intelligence robots in industrial manufacturing [4] Market Potential - The humanoid robot market in China is projected to see sales of 2,400 units in 2024, increasing to 7,300 units in 2025, with a market size approaching 2.4 billion RMB [13] - By 2035, the humanoid robot market could reach approximately 140 billion RMB, with significant growth expected as production ramps up [13][14] Industry Dynamics - The collaboration between Galaxy General and Yushutech is noted for its potential to combine embodied intelligence technology with hardware and motion control [5][10] - The global humanoid robot market is anticipated to grow substantially, with estimates suggesting 200 million humanoid robots could be operational by 2050, addressing labor shortages and creating a market worth 30 to 50 billion USD by 2035 [14]
具身智能领域的行业周期有多久?
具身智能之心· 2025-06-22 03:59
Core Viewpoint - The article discusses the development cycles of autonomous driving and embodied intelligence, suggesting that the latter may achieve commercialization faster due to anticipated breakthroughs in algorithms and data [1]. Group 1: Industry Development - The autonomous driving industry has been scaling and commercializing for nearly 10 years since 2015, while the robotics industry has been evolving for many years, with expectations for significant advancements in the next 5-8 years [1]. - Companies like Zhiyuan and Yushu are preparing for IPOs, which could greatly invigorate the entire industry [1]. Group 2: Community Building - The goal is to create a community of 10,000 members within three years, focusing on bridging academia and industry, and providing a platform for rapid problem-solving and industry influence [1]. - The community aims to facilitate technical exchanges and discussions on academic and engineering issues, with members from renowned universities and leading robotics companies [8]. Group 3: Educational Resources - A comprehensive entry route for beginners has been organized within the community, including various learning paths and resources for those new to the field [2]. - For those already engaged in research, valuable industry frameworks and project proposals are provided [4]. Group 4: Job Opportunities - The community continuously shares job postings and opportunities, contributing to the establishment of a complete ecosystem for embodied intelligence [6]. Group 5: Knowledge Sharing - The community has compiled a wealth of resources, including over 40 open-source projects, nearly 60 datasets related to embodied intelligence, and mainstream simulation platforms [11]. - Various learning routes are available, covering topics such as reinforcement learning, multi-modal models, and robotic navigation [11].
讯飞创投徐景明:最好的投资是赋能下的“信念投资”
创业邦· 2025-06-19 09:50
Core Viewpoint - The article highlights the significant growth and investment success of Cambrian, an AI chip company, which has seen a cumulative increase of 387.55% in 2024, making it the top performer in the A-share market [2]. Investment Strategy and Collaboration - iFlytek's investment in Cambrian began in 2016, focusing on AI computing chip development and leveraging iFlytek's expertise in AI algorithms for mutual growth [3][4]. - iFlytek emphasizes a long-term investment philosophy, not only in Cambrian but also in other AI companies, aiming for deep integration of technology and industry [4][10]. - The collaboration between Cambrian and iFlytek has been characterized by a two-way empowerment model, where both companies benefit from shared resources and expertise [10][16]. AI Investment Focus - iFlytek's investment strategy is centered on the AI sector, with a focus on three major "AI+" integration directions: new hardware, energy revolution, and life sciences [11][13][14]. - The company aims to support hard tech enterprises through strategic investments that emphasize long-term growth and technological innovation [15][21]. Case Studies of Empowerment - Over 70% of iFlytek's portfolio companies have achieved business synergies with iFlytek, showcasing the effectiveness of their collaborative approach [16]. - Specific examples include iFlytek's support for Zhichun Technology and Chengling Microelectronics, where iFlytek facilitated technology validation and market entry [18][20]. Market Trends and Future Outlook - The article discusses the emergence of large models in AI, with iFlytek quickly adapting to trends post-ChatGPT release, indicating a proactive investment approach [23][24]. - iFlytek's investment in Galaxy General reflects its commitment to the future of embodied intelligence, emphasizing the importance of early positioning in emerging technologies [25][26]. Entrepreneurial Insights - iFlytek's investment philosophy stresses the importance of understanding market needs and building differentiated capabilities to ensure sustainable business models [30][28]. - The company encourages entrepreneurs to focus on precise problem definitions and avoid redundant innovations, promoting a systematic approach to market supply and demand [30][27].
36氪2025年度「中国股权投资行业投资机构」系列名册|正式发布
36氪· 2025-06-12 11:27
Group 1 - The core viewpoint of the article indicates that the Chinese private equity investment market is experiencing a contraction in 2024, with a significant decline in fundraising scale and the number of new funds, down approximately one-third year-on-year [1] - The active players in the market are primarily composed of insurance capital, state-owned capital, and industrial capital, while overall investment has decreased by about 10% [1] - Investment focus has shifted towards hard technology sectors, specifically artificial intelligence, embodied intelligence, and advanced manufacturing [1] Group 2 - Investment institutions are concentrating their efforts on exit strategies, actively exploring various exit channels such as IPOs, mergers and acquisitions, and secondary stock transfers [1] - Despite short-term market pressures, there is a noted recovery in the IPO market for VC/PE-supported companies in the first quarter of 2025, with an increase in Chinese companies listing in Hong Kong [1] - Investment institutions are entering a critical transformation phase, aiming for a healthier, more sustainable, and liquid diversified exit ecosystem, with a focus on technological innovation amidst capital market reforms [1]
36氪2025年度「中国股权投资行业投资机构」系列名册,正式发布!
3 6 Ke· 2025-06-12 06:36
Group 1 - The overall trend of China's private equity investment market in 2024 continues to show a contraction, with fundraising scale declining by approximately one-third year-on-year [1] - The number and scale of newly raised funds in 2024 have decreased by about one-third compared to the previous year, with active players mainly consisting of insurance capital, state-owned capital, and industrial capital [1] - Investment activities have seen an overall decline of about 10%, with a focus on sectors such as hard technology, specifically artificial intelligence, embodied intelligence, and advanced manufacturing [1] Group 2 - Investment institutions are concentrating on exit strategies, actively exploring various exit channels such as IPOs, mergers and acquisitions, and secondary stock transfers [1] - Despite short-term market pressures, there is a relative recovery in the IPO market for VC/PE-supported companies in the first quarter of 2025, with an increase in Chinese companies listing in Hong Kong [1] - Investment institutions are entering a critical transformation period, aiming for a healthier, more sustainable, and liquid diversified exit ecosystem, with a focus on technological innovation [1]
“园区行”走进中关村东升科技园产业问题专家研讨会通知
机器人大讲堂· 2025-06-09 07:53
Group 1 - The event "2025 Enterprise Innovation and Integration Conference" aims to promote the integration of industry, academia, and research, focusing on key technological issues in the innovation chain and enhancing the collaboration among large, medium, and small enterprises [2][3] - The theme of the conference is "Focusing on Core Components to Empower Embodied Intelligence," highlighting the importance of core components in the development and application of embodied intelligent robots [3] - The conference will take place on June 17, 2025, at the Zhongguancun Dongsheng Science Park, providing a platform for industry experts to discuss challenges and solutions in the embodied intelligence sector [3][4] Group 2 - The event is organized by the China Association for Science and Technology's Enterprise Innovation Service Center, in collaboration with the Zhongguancun Rongzhi Special Robot Industry Alliance and other partners [3][5] - Participants will include leading technology companies, key research institutions, relevant academic departments, industry associations, and experts in the field of embodied intelligent robots [3][4] - A series of activities will follow the conference, including expert seminars, solution solicitations, expert validation meetings, and supply-demand matching sessions [3]