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You don’t need expensive hardware to build something that feels like real robotics. An Arduino, a servo, and an ultrasonic sensor can scan space and turn echoes into a simple radar view. It sweeps, measures distance, and visualizes it in real time. Cheap, simple, and a solid way to understand how machines sense the world. Limits show up fast, which is where better sensing and smarter software come in. Original build by SunFounder —— Weekly robotics and AI insights. Subscribe free:

昨天聊了机器人这条线 我的核心观点是： 机器人不是一个单点机会，而是一整条产业链机会 今天直接补一份更完整的观察池 不是买入建议，也不是说这些都能涨，而是方便后面持续跟踪。 类人机器人 / 整机方向 $TSLA：Optimus + Robotaxi $XPEV：IRON 人形机器人 $XIACF：小米机器人 / 智能硬件生态 $HYMTF：现代，间接看 Boston Dynamics $AGLT：Agility Robotics，关注后续上市进展 传感器 / 机器视觉 $VPG：力 / 载荷 / 应变传感 $OUST：激光雷达 $ARBE：4D 成像雷达 $MVIS：激光雷达 / 视觉感知 $INVZ：激光雷达 $CGNX：机器视觉 $ZBRA：扫描、视觉、仓储计算 芯片 / 边缘 AI $NVDA：AI 计算平台 / 机器人生态 $AMBA：边缘 AI 视觉 SoCs $AMBQ：超低功耗边缘 AI 芯片 $INDI：ADAS 与汽车半导体 $LSCC：低功耗 FPGA 运动控制 / 工业自动化 $ALNT：控制、驱动与电机 $NOVT：编码器、运动控制、机器人自动化 $ROK：工业自动化 $HON：工业自动化 $ABBNY：ABB 自动化与机器人 $TER：自动化测试 + 协作机器人相关资产 $LECO：焊接自动化 $KLIC：半导体组装设备与制造自动化 物流与仓储自动化 $AMZN：仓储机器人与物流自动化 $SYM：仓储自动化系统 自动驾驶 / 移动出行 $AUR：自动驾驶卡车 $MBLY：ADAS 与自动驾驶 $TSLA：Robotaxi $XPEV：智能驾驶 + 低空出行生态 医疗机器人 $ISRG：达芬奇手术机器人 $SYK：骨科手术机器人 $MDT：医疗设备 / 机器人辅助手术布局 $PRCT：泌尿外科手术机器人 服务 / 配送 / 特种机器人 $RR：服务机器人 / Dex 工业人形机器人 $SERV：人行道配送机器人 $KITT：海底 / 海洋机器人 $KRKNF：海底机器人与声呐系统 $OII：海洋工程与水下机器人服务 国防机器人 / 无人系统 $AVAV：无人机与巡飞弹 $KTOS：无人系统与国防科技 $LMT：军工主承包商 $NOC：无人系统 / 航空航天防务 $BA：军用航空与无人系统 $GD：防务平台与系统集成 电池与储能 $EOSE：长时储能 $QS：固态电池 $MVST：锂电池系统 $FLNC：储能系统 $KULR：电池安全与热管理 $SLDP：固态电池 $AMPX：高能量密度电池 主题 ETF $ROBO：机器人产业链 ETF $BOTZ：机器人与 AI 主题 ETF 这份名单我不会一口气全看。 我会先分三层： 第一层：已经有真实收入和客户的核心公司 第二层：有技术弹性，但商业化还早的小票 第三层：只适合跟踪情绪和主题热度的概念股 机器人这条线，短期看情绪，长期看交付。 最后真正能走出来的，不一定是故事讲得最性感的，而是谁能把订单、营收、毛利率和现金流做出来。 先建观察池，再等市场给答案。 DYOR，不构成投资建议。

A List of Robotics Stocks: Humanoids $TSLA Tesla $XPEV Xpeng $AGLT Agility $XIACF Xiaomi $HYMTF Hyundai Sensors $VPG Vishay Precision $OUST Ouster $ARBE Arbe Robotics $MVIS MicroVision $AUR Aurora $CGNX Cognex $INVZ Innoviz Chips $NVDA Nvidia $AMBQ Ambiq $AMBA Ambarella $INDI indie Logistics $AMZN Amazon $SYM Symbotic Deep Sea Robotics $KRKNF Kraken Robotics $OII Oceaneering Healthcare Robotics $ISRG Intuitive Surgical $SYK Stryker $MDT Medtronic $PRCT PROCEPT Industrial Robotics $HON Honeywell $TER Teradyne $LECO Lincoln Electric Robotics Automation $PEGA Pegasystems $ROK Rockwell Automation $ABBN ABB $ZBRA Zebra Technologies $CGNX Cognex $PATH UiPath Defense Robotics $AVAV AeroVironment $KTOS Kratos $LMT Lockheed Martin $NOC Northrop Grumman $BA Boeing $GD General Dynamics Consumer & B2B Robotics $XIACF Xiaomi $RR RichTech Robotics $SERV Serve Robotics Batteries $EOSE Eos Energy $QS QuantumScape $MVST Microvast $FLNC Fluence $KULR KULR $SLDP Solid Power $AMPX Amprius

我可不会错过机器人领域这波牛市 很多人一提机器人，只想到人形机器人和自动驾驶，但真正的机会不是一个点，而是一整条产业链： 感知与传感：机器人的眼睛和神经 $AEVA：FMCW / 4D 激光雷达 $ARBE：4D 成像雷达 $CGNX：机器视觉 $OUST：激光雷达 $VPG：力 / 载荷 / 应变传感 $ZBRA：扫描、视觉、仓储计算 芯片与边缘计算：机器人的大脑 $AMBA：边缘 AI 视觉 SoCs $AMBQ：超低功耗边缘 AI 芯片 $ATOM：半导体材料与 IP 授权 $INDI：ADAS 与汽车半导体 $LSCC：低功耗 FPGA 运动控制与精密自动化：机器人的身体** $ALNT：控制、驱动与电机 $NOVT：编码器、运动控制、机器人自动化 $KLIC：半导体组装设备与制造自动化 自动驾驶与移动出行 $AUR：自动驾驶卡车 $MBLY：ADAS 与自动驾驶 $TSLA：Robotaxi + Optimus 人形机器人 $XPEV：IRON 人形机器人，小鹏生态也在布局低空出行 现场、服务与仓储机器人 $KITT：海底 / 海洋机器人 $RR：服务机器人与 Dex 工业人形机器人 $SERV：人行道配送机器人 $SYM：仓储自动化系统 外科机器人 $ISRG：达芬奇手术机器人系统 主题基金配置 $ROBO：机器人产业链 ETF $BOTZ：机器人与 AI 主题 ETF 我现在看机器人，不会只盯“谁最像特斯拉 Optimus” 真正值得跟踪的是： 谁提供传感器，谁提供芯片，谁控制运动，谁负责视觉，谁已经进入真实应用场景。 机器人牛市如果真的来，最先涨的不一定是最终整机厂，反而可能是藏在产业链里的“铲子股”。 当然，这条线弹性大、波动也大，尤其很多小票还处在商业化早期。 我的思路是：先建观察池，再看订单、营收、毛利和现金流，不盲目追概念。 机器人不是短线故事，可能是 AI 之后下一条更长的主线。 DYOR，不构成投资建议。

Elon Musk turns 55 today. Here are 55 milestones. Age 54: world's first trillionaire Age 54: takes SpaceX public Age 54: SpaceX acquires xAI Age 54: releases Grok 4 Age 53: launches Robotaxi service Age 53: xAI acquires X Age 53: catches Starship booster Age 53: unveils Cybercab Age 53: first private spacewalk Age 53: Colossus supercomputer Age 52: first Neuralink implant Age 52: launches Grok Age 52: rebrands Twitter as X Age 52: founds xAI  Age 51: launches first Starship Age 51: buys Twitter Age 50: flies first all-civilian crew Age 50: unveils Optimus robot Age 49: wins NASA moon contract Age 48: launches crew to orbit Age 48: ships Tesla Model Y Age 48: unveils Cybertruck Age 48: launches Tesla Megapack Age 47: first Starlink satellites Age 46: launches Falcon Heavy  Age 46: unveils Tesla Semi  Age 45: starts Boring Company  Age 45: opens first Gigafactory  Age 45: founds Neuralink  Age 45: unveils Solar Roof  Age 45: reflies Falcon 9  Age 44: reveals Tesla Model 3  Age 44: lands a rocket booster Age 44: co-founds OpenAI  Age 44: ships Tesla Model X  Age 43: unveils Powerwall  Age 43: launches Tesla Autopilot  Age 41: opens first Superchargers  Age 40: ships Tesla Model S  Age 40: Dragon reaches ISS  Age 39: Dragon reaches orbit  Age 39: takes Tesla public (IPO)  Age 38: Falcon 9 first flight  Age 37: Falcon 1 reaches orbit  Age 36: ships first Tesla Roadster  Age 35: co-founds SolarCity  Age 32: co-founds Tesla  Age 31: sells PayPal to eBay  Age 30: founds SpaceX  Age 30: takes PayPal public  Age 27: founds X dot com Age 27: sells Zip2 to Compaq  Age 24: co-founds Zip2  Age 19: sells PCs in dorm Age 12: codes video game Blastar

Every single household will want a Tesla Optimus Robot. • It can do all your chores for you, like laundry, dishes, yard work, taking out the trash, etc. The list is endless. • It will be amazing for elderly people who want or need primary care 24/7. It will help with medication, mobility assistance, and even provide companionship. • I can see it being very useful for security purposes. Optimus’ cameras could perhaps provide a live view of what’s going on, or even provide alerts. • Once scaled, Optimus will be far cheaper to own than paying for nannies, cleaners, caregivers, landscapers, etc. • It could supervise your children, tutor them, tell stories to them, etc. • Optimus could perform CPR, deliver first aid, detect emergencies, and automatically alert emergency services. • Gardening and snow removal during the winter. Optimus will free up so much of your time so you can spend more time with family, and doing things you love. It will take care of almost everything for you. This will be the most important product ever created.

NVIDIA just made AI detect objects 10x faster by deleting one step. It's called LocateAnything, and it removes the biggest bottleneck no one else was fixing in vision-language models. Normally a model builds each bounding box one coordinate token at a time. 100 objects means thousands of tokens before an answer. NVIDIA scrapped that: their Parallel Box Decoding predicts the whole box in a single forward pass, as one atomic unit. → 12.7 boxes/sec on one H100 → 10x faster than Qwen3-VL → +3.8% F1 on LVIS, accuracy up, not down → 3B params, runs on one consumer GPU Treating the box as one unit keeps its coordinates tied together, which is why accuracy climbed instead of falling. One model handles detection, GUI grounding, OCR, and document understanding, ready for computer-use agents, robotics, and document pipelines. 100% open source, weights, code, demo, and paper all live.

Forget lidar. One single camera. Runs in real time & is open source: A streaming 3D model that reconstructs scenes live, at ~20 FPS, over long sequences. End-to-end. Optimization tricks, cleanup steps? Nope. And it beats both streaming and even some offline methods. Perception is becoming software-first. Closer to machines that see and understand the world as it unfolds. Thanks for sharing, @YinghaoXu1 📍Models: Project page: Code: Paper: —— Weekly robotics and AI insights. Subscribe free: