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Boston Dynamics tries using ‘robot dogs’ for deliveries

Boston Dynamics' robotic quadruped Spot has already found work doing routine factory inspections and patrolling the ruins of Pompeii, but what about deliveries? The company is testing a new conveyor belt accessory that allows Spot to carry packages from a vehicle and autonomously unload them on a customer's doorstep in an effort to reduce a […]

2026-07-15 原文 →
AI 资讯

Stop Using Raw WebDriver in Robot Framework

A lot of Robot Framework projects still look like plain Selenium scripts with .robot file extensions. Someone imports webdriver , creates driver = webdriver.Chrome() , then calls find_element and send_keys in Python helpers. Robot Framework runs the suite, but readable keywords, shared libraries, and consistent waits never show up in the tests. If you already use Robot Framework with SeleniumLibrary , you do not need the raw WebDriver API. SeleniumLibrary gives you high-level keywords. The Page Object Model gives you structure. Together they keep tests short and UI changes localized. We published a small MIT template that shows the layout: rf-seleniumlibrary-pageobject-template . It targets Sauce Demo — clone it, run four tests, fork the folder structure. What breaks when you mix in raw WebDriver driver = webdriver . Chrome () driver . find_element ( By . ID , " user-name " ). send_keys ( " standard_user " ) driver . find_element ( By . ID , " password " ). send_keys ( " secret_sauce " ) driver . find_element ( By . ID , " login-button " ). click () Fine for a script. Painful in a growing suite. Locators spread across helpers and test files. Waits become time.sleep(2) in one place and missing in another. You end up maintaining SeleniumLibrary and a parallel WebDriver stack. CI fails on a Tuesday night and you are not sure which path opened the browser. Before and after Before After driver.find_element(...).send_keys(...) Login With Valid Credentials ${VALID_USER} ${VALID_PASSWORD} Locators in every file LoginLocators.USERNAME in one module Ad-hoc sleeps wait_until_element_is_visible in BasePage.click() Two browser stacks One SeleniumLibrary instance per suite Four layers Layer Job Example Locators Selectors per screen login_locators.py BasePage Shared waits and actions click() , enter_text() Page library Screen keywords LoginPage.login() Robot test Scenario only Inventory Should Be Visible Folder layout in the repo: resources/locators/ → selectors pages/ → Python pa

2026-07-10 原文 →
AI 资讯

iRobot’s newest floor cleaner isn’t a robot

iRobot just announced its first-ever non-robotic floor cleaner. The $399 Roomba Electro Plus is a 5-in-1 hard-floor cleaner that combines vacuuming, mopping, and disinfecting, but you have to operate it yourself. The company also announced updates to its line of Roomba robot vacuums, launching five new models with higher suction power, smaller footprints, and lower […]

2026-07-07 原文 →
AI 资讯

The $4,900 Humanoid Robot Changes Everything

📖 Read the full version with charts and embedded sources on ComputeLeap → You can now buy a walking, flipping, kung-fu-kicking humanoid robot on AliExpress for $4,900 — less than a used Honda Civic, less than a semester of community college, less than what most people spend on a couch-and-TV combo. Unitree's R1 AIR shipped its first global batch in April, and it represents something the robotics industry has been promising and failing to deliver for decades: a humanoid robot that a normal person can actually afford. But here's what the breathless headlines won't tell you: price is falling faster than capability. The gap between what this robot costs and what it can actually do is where the hype lives — and understanding that gap is the difference between seeing a revolution and seeing a very expensive toy. The Number That Matters The Unitree R1 AIR stands 4 feet tall, weighs 55 pounds, and packs 20 degrees of freedom into a bipedal frame that can run, do cartwheels, throw punches, and execute spin kicks . At CES 2026, Unitree's booth stopped traffic with R1s replicating Bruce Lee sequences, Michael Jackson dance moves, and Mike Tyson combinations. The base R1 AIR ships with a monocular camera, 8-core CPU, and onboard AI for voice and image recognition. For $1,000 more, the standard R1 at $5,900 adds six more degrees of freedom (26 total), binocular depth perception, waist articulation, and head movement. Both come with hot-swappable batteries — about an hour of runtime per charge. To put the price in context: Figure AI and Tesla each shipped roughly 150 humanoid units in 2025. Unitree shipped 5,500 . That's not a typo — Unitree alone outshipped every Western humanoid manufacturer combined by a factor of 20x. The R1's $4,900 price point isn't an outlier. It's the leading edge of a Chinese manufacturing tidal wave. The Raspberry Pi Parallel — and Its Limits When the Raspberry Pi launched in 2012 at $35, it didn't replace laptops. It didn't become the computer most peo

2026-07-04 原文 →
AI 资讯

AI Skipped Class - Turns Out It Didn't Need To Go

What happens when a machine no longer needs to be trained to see something new? That's the quiet question sitting underneath this week's news, buried next to a less invasive brain implant and a handful of robots getting tougher for the real world. Neuralink says it's completed its first "transdural" brain implant, a surgical approach built to reduce trauma during the procedure. As someone who spends a lot of time thinking about how you get sensors close to a human eye without hurting anyone, I find these less-invasive-implant strategies worth watching, because the surgical-risk problem is basically the same one we wrestle with in ophthalmic hardware. Vision is getting less invasive too, in its own way. Roboflow rolled out text-prompt object detection built on SAM3 (Meta's latest segmentation model): you type the class of object you want "forklift," "cracked tile," whatever, and it returns boxes and masks without you collecting a single training image first. That's a real shift. For most of computer vision's history, teaching a model to recognize something new meant labeling hundreds of examples before you could even start; this collapses that step into a sentence. The same week brought several applied builds using the same detect-then-orchestrate pattern: a drone system that patrols for intrusions, a pipeline that inspects transmission lines for damaged cables, and an airport tool that spots foreign debris on the tarmac. The Robot Report's roundup of June's biggest robotics stories leaned heavily on humanoid robots companies going public, new deployments, and production milestones stacking up faster than would have seemed plausible a few years ago. Apptronik unveiled its Apollo 2 humanoid alongside a dedicated data-collection facility built so the robot keeps learning after it's deployed, not just during initial training which quietly answers one of the harder questions in robotics: how do you keep a system improving once it's out of the lab? X Square Robot raised e

2026-07-02 原文 →