About this content About Emily Jarvie Emily began her career as a political journalist for Australian Community Media in Hobart, Tasmania. After she relocated to Toronto, Canada, she reported on business, legal, and scientific developments in the emerging psychedelics sector before joining Proactive in 2022. She brings a strong journalism background with her work featured in newspapers, magazines, and digital publications across Australia, Europe, and North America, including The Examiner, The Advocate, ...

RealSense spins out of Intel to scale its stereoscopic imaging technology | TechCrunch https://t.co/nfBajS24VR ...

Core Viewpoint - Intel is spinning out its artificial intelligence robotics and biometric venture, RealSense, to capitalize on the growing demand for automation tools in the industry [1][2]. Group 1: Company Overview - RealSense is the new company formed from Intel's robotics automation and biometric venture, announced alongside a $50-million Series A funding round [2]. - The funding round includes contributions from MediaTek Innovation Fund and Intel Capital, which is also being spun out [2]. - Nadav Orbach, currently Intel's vice president and general manager for incubation and disruptive innovation, will serve as CEO of RealSense [3]. Group 2: Market Demand and Strategy - RealSense aims to use the funding to develop new product lines and meet the increasing global demand for robotics automation tools [3]. - The CEO highlighted that the timing is right for physical AI, as the technology is gaining more use cases and traction [4]. - Companies worldwide are increasing their investments in the robotics sector as AI applications continue to expand [4].

4分14秒！在2025张江具身智能开发者大会暨国际人形机器人技能大赛的激烈角逐中，这个数字不仅定格了 同济大学具身双臂操作机器人团队（以下简称"同济具身智造团队"）在具身工业场景链盒上下料赛项的夺冠时 刻，更以绝对优势创造了该项目的 "张江纪录"。 这不仅是速度的胜利，更是具身智能技术向真实工业场景深度落地的一次突破性进展。 团队聚焦于制造业中 最基础也最关键的环节——链盒上下料。这个看似简单、却在工厂车间日复一日重复千万次的操作，对机器人 的精度、协同性及环境适应能力提出了极致挑战。同济团队如何突破重重技术难关，让机器人在这一核心任务 中展现出 可替代和辅助 人工的效率和可靠性？ 机器人大讲堂深入采访了团队 的参赛 指导教师及核心成员， 为您深度解析这场技术攻坚的制胜关键。 ▍ 毫厘之间的较量：技术重新定义工业精度 "连续完成 6个乱序零件的精准抓取和放置，每个零件的定位精度都控制在0.1毫米以内。"同济大学自主智能 无人系统科学中心2025级博士生顾羲和介绍道。评委们特别肯定了该系统在狭小空间作业时的稳定性和效 率，认为其充分展现了具身智能在工业场景中的实用价值，证明了机器人替代人工完成高重复性、环境恶劣 ...

奥比中光 20250618 摘要 奥比中光 3D 视觉产品毛利率维持在 60%以上，生物识别和 NFC 模组 毛利率约为 26%-27%。2025 年 1-5 月总收入 3.6 亿元，同比增长 117%，经营规模扭亏为盈至 5,500 万元，净利率从一季度 12.7%提升 至四五月份 17.6%。 3D 视觉技术通过激光扫描物体形状和距离，精度达亚毫秒级，优于激光 雷达。消费级市场主要供应商包括苹果、英特尔 RealSense 和奥比中 光，其中奥比中光服务于非苹果客户市场。 3D 视觉模组生产的核心技术壁垒在于实现技术闭环和商业化闭环，即确 保设备准确发射、接收、处理信号，并能根据不同环境进行适配，以保 证设备稳定运行。 3D 视觉技术面临环境光、温度变化等导致的"温漂"挑战，需通过机器 视觉算法调制进行场景适配，测试周期长达一年半到两年，算法层面的 场景适配是核心壁垒。 2024 年 3D 视觉产业模式较差，因下游市场需求有限，缺乏爆款产品， 且研发成本高昂。但自 2020 年以来，AGV 机器人转向自动避障机器人， 以及人形机器人等领域对 3D 视觉需求增加。 Q&A 奥比中光在 2025 年的经营数据 ...

一周解一惑系列： 机器人大脑算法迭代对视觉方案的影响 2025 年 05 月 09 日 ➢ 本周关注：奥比中光、浙江荣泰、杰克股份、法兰泰克、雷迪克 ➢ 主要应用场景：3D 视觉技术的应用场景广泛，它不仅是工业自动化领域的 关键技术，也是众多行业智能化变革的重要驱动力。在 3D 高精度扫描、机器人 领域智能化升级、智能物流与仓储管理、消费电子领域与生物识别领域都展现出 了巨大的应用潜力。 ➢ 3D 点云数据在机器人大模型中具有多项优势：1）增强空间推理能力，提升 任务成功率：实验表明，基于点云的方法在成功率和平均排名上超越了 RGB 和 RGB-D 方法，无论从头开始训练还是利用预训练，都能展现出更强的性能和泛 化能力。将 3D 点云数据注入到预训练的 VLA 模型中，能够为模型提供更全面的 空间信息，使机器人能够更好地理解和感知环境中的物体位置、距离和形状等。 这种能力使得机器人在执行任务时能够做出更准确的决策和动作规划，解决了 2D 模型在空间感知上的局限性，提高了任务的成功率。与传统的 2D VLA 模型 相比，PointVLA 能够利用 3D 点云数据准确感知物体的实际位置和高度，从而 在面对不同高度 ...

Investment Rating - The report maintains a positive investment rating for the 3D vision sector, particularly highlighting the leading company, Orbbec [5][8]. Core Insights - The report emphasizes the significant potential of 3D vision technology across various industries, including industrial automation, logistics, and consumer electronics, driven by advancements in 3D visual algorithms and sensor technologies [2][4]. - 3D point cloud data enhances spatial reasoning capabilities and task success rates for robots, outperforming traditional 2D methods in various applications [3][72]. - The integration of 3D vision in robotics allows for precise object recognition and manipulation, improving operational efficiency and safety in complex environments [58][64]. Summary by Sections 1. Commercial Applications - 3D Vision Principles and Use Cases - 3D vision is a multidisciplinary field that enables machines to understand and process information in three-dimensional space [10]. - Key tasks include 3D reconstruction, pose estimation, and 3D understanding, which are essential for various applications [11][12][13]. 2. 3D Vision Algorithms - 3D point cloud data provides multiple advantages in robotic models, enhancing spatial reasoning and task success rates [3][72]. - The report discusses the application of 3D sensors and algorithms, highlighting the importance of high-precision data acquisition in robotics [4][5]. 3. Investment Recommendations - The report suggests focusing on leading companies in the 3D vision field, particularly Orbbec, due to their innovative technologies and market positioning [5][8].