Email: Robots run workflows 🤖, driverless IKEA freight 🚚, PCIe chiplets 🔌

Subject:
Robots run workflows 🤖, driverless IKEA freight 🚚, PCIe chiplets 🔌
Received:
10/2/2026, 1:11:53 PM
From:
"TLDR Hardware" <dan@tldrnewsletter.com>
To:
silk.theater.56@fwdnl.com
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&lt;div style="display: none; max-height: 0px; overflow: hidden;"&gt;Humanoid robots need different memory architectures for centralized AI compute and distributed joint control. Flash and EEPROM can delay writes&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;&lt;/div&gt;

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&lt;h1&gt;&lt;strong&gt;TLDR Hardware &lt;span id="date"&gt;2026-10-02&lt;/span&gt;&lt;/strong&gt;&lt;/h1&gt;
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&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;📱&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;
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&lt;h1&gt;&lt;strong&gt;Headlines and Launches&lt;/strong&gt;&lt;/h1&gt;
&lt;/div&gt;
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&lt;table style="table-layout: fixed; width: 100%;" width="100%"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td style="padding:0;border-collapse:collapse;border-spacing:0;margin:0;" valign="top"&gt;

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&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.dyna.co%2Fdyna-2.1%3Futm_source=tldrhardware/1/010001a0fcbe1f81-897c49eb-1d5e-4b2e-a1c8-f37f9c2b9375-000000/KCkaQToYrtBZibex-wzlo6ojyWqTdFSf6_m8Phb0USA=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Dyna-2.1: A Robot/Model for Unsupervised Long-Horizon Workflows (5 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Dyna-2.1 introduces a semi-humanoid robot named Taku that is designed to autonomously complete long-horizon, complex physical workflows. The system utilizes a dual-model software architecture where a vision-language model monitors the environment while a separate model coordinates whole-body manipulation, allowing the robot to dynamically switch tasks. It highlights a major shift toward utilizing integrated foundation models and highly flexible physical platforms to automate complex, multi-step commercial and industrial service roles.
                                &lt;/span&gt;
&lt;/span&gt;
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&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.automate.org%2Fai%2Findustry-insights%2Fikea-is-about-to-take-the-driver-out-of-a-219-mile-freight-run%3Futm_source=tldrhardware/1/010001a0fcbe1f81-897c49eb-1d5e-4b2e-a1c8-f37f9c2b9375-000000/3cpHSleLL0b5P3QctY02l2g0CL-v0xhWrOtlkldXXMU=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;IKEA and Kodiak Prepare for Autonomous Freight Operations (4 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Kodiak AI is preparing to launch a driverless commercial shipping route for IKEA Supply along a 219-mile section of Interstate 45 in Texas. The milestone follows four years of collaborative testing during which they successfully completed over 1,300 runs to resolve operational complexities like scheduling, predictive maintenance, and dock assignment. It serves as a prime case study of how custom autonomous technology can successfully transition from controlled, simulated environments into the real-world logistics and shipping infrastructure.
                                &lt;/span&gt;
&lt;/span&gt;
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&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fpayloadspace.com%2Ftransporter-18-tests-the-building-blocks-of-orbital-data-centers%2F%3Futm_source=tldrhardware/1/010001a0fcbe1f81-897c49eb-1d5e-4b2e-a1c8-f37f9c2b9375-000000/yW7Holeiwt82_U3Yw9DI77q0SJDCHeg4xvmF6bkPeYk=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Transporter-18 Tests the Building Blocks of Orbital Data Centers (5 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    SpaceX's Transporter-18 launched three payloads testing technologies for orbital data centers. Cowboy Space's Reason-1 tests beaming solar power via laser, Google's Project Suncatcher runs AI chips on solar in orbit to evaluate durability, and Star Catcher's Protostar aims to validate power-beaming to satellites. These tests are crucial for building infrastructure to support future AI computing and data centers in space.
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                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FrHQey5/1/010001a0fcbe1f81-897c49eb-1d5e-4b2e-a1c8-f37f9c2b9375-000000/4qyKEefvZJSK8U3G4RlTftXJNUY3BPzVCESDWQ6xIcE=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Framework is selling one batch of its 192GB desktop, built from memory it already has (3 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
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&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    The new Framework Desktop pairs AMD's Ryzen AI Max PRO 495+ with 192GB of LPDDR5X and 273GB/s of memory bandwidth, and it ships in November as a DIY kit, a Fedora prebuilt, or a bare Mini-ITX board. Its PCIe x4 slot is now open-ended, so full-size x8 or x16 cards fit without a riser, letting owners add 50Gbps networking to cluster several machines for faster inference. Framework expects memory prices to keep rising for six months and tells buyers to pick their capacity now.
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&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;🔨&lt;/span&gt;&lt;/div&gt;
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&lt;h1&gt;&lt;strong&gt;Engineering and Applications&lt;/strong&gt;&lt;/h1&gt;
&lt;/div&gt;
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&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsemiengineering.com%2Fcrossing-chiplet-boundaries-with-pcie-over-ucie%2F%3Futm_source=tldrhardware/1/010001a0fcbe1f81-897c49eb-1d5e-4b2e-a1c8-f37f9c2b9375-000000/rTFaE-OknSrincupEuyd7uZM5FFMjlvPhhK4SIy5H5I=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Crossing Chiplet Boundaries With PCIe Over UCIe (5 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    PCIe 8.0 traffic can cross chiplet boundaries through UCIe 3.0, but engineers must coordinate both protocols' power, reset, and recovery states. Timing mismatches can cause completion timeouts, dropped traffic, and deadlocks. Siemens' verification tools trace transactions across both layers and inject faults before silicon bring-up.
                                &lt;/span&gt;
&lt;/span&gt;
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&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsemiengineering.com%2Fmemory-at-the-edge-non-volatile-memory-challenges-and-requirements-for-humanoid-robots%2F%3Futm_source=tldrhardware/1/010001a0fcbe1f81-897c49eb-1d5e-4b2e-a1c8-f37f9c2b9375-000000/ujwgCZXmR47I8wUHpH76wT8XNfotI2LhrVCWd0P-c6A=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Memory At The Edge: Non-Volatile Memory Challenges And Requirements For Humanoid Robots (8 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Humanoid robots need different memory architectures for centralized AI compute and distributed joint control. Flash and EEPROM can delay writes by 5-10 milliseconds, which risks lost position data during power failures. The article maps F-RAM to continuous telemetry, safety-capable NOR Flash to boot storage, and high-speed NOR Flash to time-sensitive networking.
                                &lt;/span&gt;
&lt;/span&gt;
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&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;🧠&lt;/span&gt;&lt;/div&gt;
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&lt;h1&gt;&lt;strong&gt;Research and Prototypes&lt;/strong&gt;&lt;/h1&gt;
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                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.cnx-software.com%2F2026%2F09%2F30%2Fopenarm-2-0-an-open-source-7-dof-robot-arm-with-qdd-joints-bilateral-force-feedback-in-hand-camera%2F%3Futm_source=tldrhardware/1/010001a0fcbe1f81-897c49eb-1d5e-4b2e-a1c8-f37f9c2b9375-000000/xOswZYk-V0dZpzh0kRPy6b2P-kA_Whph8h0lxw7CcZw=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;OpenArm 2.0: An Open-Source Compliant Robotic Arm (4 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    OpenArm 2.0 is an open-source, 7-degree-of-freedom robotic arm engineered by Tokyo-based Enactic for contact-rich manipulation and physical artificial intelligence research. The arm features backdrivable, quasi-direct drive joints for highly compliant physical interactions, a gripper with an integrated camera, and a motorless replica arm for bilateral force-feedback teleoperation. It delivers a highly customizable, low-cost platform that facilitates the training of robust manipulation models using modern imitation learning and simulation-to-reality pipelines.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
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&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td class="container" style="padding: 15px 15px;"&gt;
&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgithub.com%2FAshishA26%2FOrion-Quadruped%3Futm_source=tldrhardware/1/010001a0fcbe1f81-897c49eb-1d5e-4b2e-a1c8-f37f9c2b9375-000000/vfkLFnYELyTMy5hGxPd2QXTx4TwGUh_adyOpNiMewOE=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Orion: Designing and Programming a Custom Quadruped from Scratch (3 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Orion is a custom-built, 12-degree-of-freedom quadruped robot designed and programmed entirely from scratch. The system combines an NVIDIA Jetson Orin Nano for advanced stereo vision depth perception and LiDAR-based SLAM with an STM32-based microcontroller running FreeRTOS for low-level kinematic gaits and real-time stabilization. It provides a complete, open-source blueprint for constructing complex, dynamically stable legged systems using advanced embedded processors and modern spatial computing toolchains.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;div class="text-block"&gt;
&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;🎁&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;div class="text-block"&gt;
&lt;div style="text-align: center;"&gt;&lt;strong&gt;&lt;h1&gt;Miscellaneous&lt;/h1&gt;&lt;/strong&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgithub.com%2Fjfrancis71%2Fros2_buildhat_differential_drive%3Futm_source=tldrhardware/1/010001a0fcbe1f81-897c49eb-1d5e-4b2e-a1c8-f37f9c2b9375-000000/19PyByd_cY57Lo-mQ5Hs8FQi3Tgzt5UtaO2Vwbhop6c=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Building a Lego-Compatible ROS 2 Drive Controller (2 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    This open-source repository provides a ROS 2 hardware interface and differential drive controller designed specifically for the Raspberry Pi Build HAT. The package enables direct control of Lego Spike Prime motors and sensors, allowing developers to run modern robot communication middleware on lightweight educational hardware. It offers an accessible entry point for testing and prototyping mobile bases using popular, modular consumer components.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
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&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fthenextweb.com%2Fnews%2Ffedex-harbinger-trucks-europe-grid%3Futm_source=tldrhardware/1/010001a0fcbe1f81-897c49eb-1d5e-4b2e-a1c8-f37f9c2b9375-000000/cbJBUhlXhLVhfY1kb7d3wDZBAb5fB54EeUl9CpxKdnY=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;FedEx is buying 2,000 electric trucks for $300M, and investing in the company building them (3 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    FedEx ordered 2,000 Harbinger electric delivery trucks for $300 million, with delivery due before the end of 2027. FedEx also led the startup's $160 million Series C last year. Harbinger projects $20,000 in annual savings per truck against diesel, but those figures are estimates rather than measured fleet results.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
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&lt;div class="text-block"&gt;
&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;⚡&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;div class="text-block"&gt;
&lt;div style="text-align: center;"&gt;

&lt;h1&gt;&lt;strong&gt;Quick Links&lt;/strong&gt;&lt;/h1&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fthenextweb.com%2Fnews%2Fdeepseek-huawei-ascend-tilelang-open-source-cuda%3Futm_source=tldrhardware/1/010001a0fcbe1f81-897c49eb-1d5e-4b2e-a1c8-f37f9c2b9375-000000/l9ZzHUOYSMOX5MjgUxfiEQtK2sgQ2QvEdtCyRnokeTc=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;DeepSeek open-sources Huawei chip tools as a simpler alternative to CUDA (2 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    DeepSeek released six software modules for Huawei Ascend chips, including compute and communication libraries and TileLang support.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.tomshardware.com%2Fdesktops%2Fmini-pcs%2Ffirst-intel-panther-lake-mini-pc-cooled-with-solid-state-airjet-tech-operates-at-less-than-21-dba-aaeon-claims-its-fanless-up-xtreme-ptl-edge-air-is-also-slimmer-lighter-than-actively-cooled-rivals%3Futm_source=tldrhardware/1/010001a0fcbe1f81-897c49eb-1d5e-4b2e-a1c8-f37f9c2b9375-000000/wBylIfxhrL64BpQaXg5nl-RbN0HOgm-5iN2nMHL5LPk=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;First Intel Panther Lake mini PC cooled with solid-state AirJet tech operates at less than 21 dBA (3 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Aaeon launched the Up Xtreme PTL Edge Air mini PC with Intel Panther Lake processors and Frore's AirJet cooling.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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