# robots Published articles for robots. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## MYWAI ports its VILMA visual imitation learning toolkit to Arduino UNO Q and VENTUNO Q DevFeed: [MYWAI ports its VILMA visual imitation learning toolkit to Arduino UNO Q and VENTUNO Q]() Original publisher: [Read original article]() Author: Arduino Team Published: 2026-09-15T14:26:17Z Content type: article Language: en Sources: [Arduino Blog]() Topics: [Robotics](), [Artificial Intelligence](), [Computer vision](), [Arduino](), [Qualcomm](), [UNO Q](), [VENTUNO Q]() Tags: [ai](), [arduino](), [computer-vision](), [edge-ai](), [industrial](), [machine-learning](), [qualcomm](), [robotics](), [robots](), [uno-q](), [ventuno-q](), [warehouse]() ### AI overview The article describes VILMA, an AI-powered toolkit from MYWAI that enables robots and humanoids to learn manipulation tasks from one-shot human demonstrations. It reports that the toolkit is being ported to Arduino UNO Q and VENTUNO Q boards powered by Qualcomm Dragonwing processors. ### Source excerpt Every day, hundreds of thousands of kits are prepared in warehouses before components ever reach an automotive production line. While robots have become commonplace in modern manufacturing, many upstream logistics activities still rely heavily on human operators performing repetitive pick-and-place and kitting tasks. What if robots could learn these operations the same way humans do: [...] The post MYWAI™ VILMA™ is designed to bring human-like learning to robots via one-shot demonstration appeared first on Arduino Blog. ## Building smarter AMRs with the Arduino® VENTUNO™ Q board DevFeed: [Building smarter AMRs with the Arduino® VENTUNO™ Q board]() Original publisher: [Read original article]() Author: Arduino Team Published: 2026-09-11T11:10:16Z Content type: article Language: en Sources: [Arduino Blog]() Topics: [Arduino](), [Physical AI](), [Microcontroller](), [Linux](), [Computer vision](), [real-time](), [systems]() Tags: [amr](), [arduino](), [autonomous-mobile-robots](), [computer-vision](), [featured](), [linux](), [mcu](), [physical-ai](), [real-time](), [robotics](), [robots](), [ros](), [sensor](), [sensors](), [ventuno-q]() ### AI overview The article explains how Arduino's VENTUNO Q board could support autonomous mobile robots by combining a Linux-capable MPU with a real-time MCU. The MPU can run Linux, ROS 2, navigation, computer vision, and AI workloads, while the MCU handles motor control, encoder feedback, inertial measurements, local sensing, and motor-driver communication. ### Source excerpt Physical AI is based on the idea that intelligence shouldn't stop at perception: instead, it should bring to life systems able to sense their environment, reason about it, and act on it - all in one continuous loop. It's what makes the difference between a device that observes and one that acts. Autonomous mobile robots [...] The post Building smarter AMRs with the Arduino® VENTUNO™ Q board appeared first on Arduino Blog. ## Redesigning a popular robotic arm DevFeed: [Redesigning a popular robotic arm]() Original publisher: [Read original article]() Author: Arduino Team Published: 2026-09-10T17:48:41Z Content type: article Language: en Sources: [Arduino Blog]() Topics: [ESP32](), [3D](), [Code]() Tags: [3d](), [3d-printer](), [arduino](), [components](), [design](), [nano-esp32](), [robot-arm](), [robotic-arm](), [robotics](), [robots]() ### AI overview Arduino Blog describes Kelton Serra's redesigned robotic arm, which uses puppet-style control through potentiometers, an Arduino Nano ESP32, servo motors, and a servo driver board. The redesign aims to make the arm more affordable, easier to build, and better performing, with 3D-printable parts and upgraded wrist and gripper mechanics. ### Source excerpt Robotic arms are extremely versatile, which is the entire point. But that versatility comes at the cost of complexity when it comes to programming and control. A few years ago, Kelton Serra from the Build Some Stuff YouTube channel simplified the situation by giving his custom robotic arm a puppet-style controller. Now he's back with [...] The post Redesigning a popular robotic arm appeared first on Arduino Blog. ## Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video DevFeed: [Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video]() Original publisher: [Read original article]() Author: Sasa Docca Published: 2026-09-10T16:30:35Z Content type: news Language: en Sources: [NVIDIA Blog]() Topics: [foundation-models](), [Cosmos](), [Simulation and Design](), [synthetic-data]() Tags: [ai](), [artificial-intelligence](), [cosmos](), [customer-stories](), [industrial-and-manufacturing](), [isaac](), [model](), [nvidia](), [nvidia-blackwell](), [omniverse](), [physical-ai](), [robotics](), [robots](), [simulation-and-design](), [synthetic-data-generation](), [tensorrt](), [video]() ### AI overview Skild AI's S1 robot foundation model learns new long-horizon physical tasks from a single video demonstration through in-context learning, without task-specific retraining. The article describes its development on NVIDIA AI infrastructure and use of NVIDIA Isaac Lab and Cosmos technologies. ### Source excerpt Manufacturing floors, warehouses and production lines rarely stay fixed -- tasks change, layouts shift and new products arrive, and most robots can't keep up without significant reprogramming. Skild AI's new S1 robot foundation model helps address this, designed to learn previously unseen, long-horizon tasks from a single video demonstration. The model, launched last week, uses [...] ## ICYMI: What landed for AI builders in August 2026 DevFeed: [ICYMI: What landed for AI builders in August 2026]() Original publisher: [Read original article]() Author: Tanvi Girinath Published: 2026-09-09T20:01:03Z Content type: news Language: en Sources: [Artificial Intelligence]() Topics: [Amazon Bedrock](), [Inference](), [Caching](), [SDKs](), [Deployment]() Tags: [agents](), [ai](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [announcements](), [caching](), [deployment](), [govcloud](), [inference](), [intermediate-200](), [latency](), [open](), [robots](), [updates]() ### AI overview A recap of August 2026 Amazon Bedrock, AgentCore, and Strands updates for AI builders, including expanded context windows, inference, long-running agents, GovCloud availability, and robot deployment. ### Source excerpt A recap of August 2026 launches for AI builders across Amazon Bedrock, Amazon Bedrock AgentCore, and Strands: million-token context for OpenAI models, cross-Region inference, agents that run for up to 14 days on dedicated compute, expanded AWS GovCloud availability, and Strands Robots for physical deployment. ## ARK Just A Pi - A tiny NDAA-compliant Raspberry Pi CM5 carrier board for drones and robots DevFeed: [ARK Just A Pi - A tiny NDAA-compliant Raspberry Pi CM5 carrier board for drones and robots]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-08-31T10:49:27Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Raspberry Pi](), [Embedded Systems](), [Hardware](), [Ethernet]() Tags: [broadcom-bcmxxxx](), [camera](), [cm5](), [debian](), [drone](), [embedded](), [ethernet](), [hardware](), [hdmi](), [jetson-orin](), [linux](), [raspberry-pi](), [robotics](), [robots](), [sensors](), [som](), [usb]() ### AI overview The article reports on ARK Electronics' Just A Pi, a small NDAA-compliant carrier board for the Raspberry Pi Compute Module 5. It describes its connectors, interfaces, dimensions, weight, supported modules, installation requirements, and pricing. ### Source excerpt ARK Just A Pi is a tiny NDAA-compliant carrier board for the Raspberry Pi CM5 designed for drones, robots, or other space-constrained embedded applications that's about the size of the Compute Module itself. This follows ARK Electronics' NDAA-compliant ARK Jetson Orin NX/Nano bundles introduced in 2024. The new "Just A Pi" is much smaller and lighter, features a built-in 100 Mbps Ethernet switch with two JST-GH Ethernet ports, a micro HDMI port, two MIPI CSI camera connectors, a microSD card slot, a PCIe FFC connector, a USB 3.0 Type-C dual role connector, and a range of small connectors for UART, SPI, PWM, GPIO, and fan. It also features a power connector for the company's PAB power modules. ARK Just A Pi specifications: Supported SoM Raspberry Pi Compute Module 5 - Full support Raspberry Pi Compute Module 4 - The following interfaces are not supported: CSI1/CAM1, UART2, USB-C, PCIe, and fan [...] The post ARK Just A Pi - A tiny NDAA-compliant Raspberry Pi CM5 carrier board for drones and robots appeared first on CNX Software - Embedded Systems News. ## Say it once: Introducing Bot Preference Sync DevFeed: [Say it once: Introducing Bot Preference Sync]() Original publisher: [Read original article]() Author: Jin-Hee Lee Published: 2026-08-21T23:19:57Z Content type: article Language: en Sources: [Cloudflare Blog]() Topics: [AI Bots]() Tags: [ai](), [ai-bots](), [ai-models](), [ai-training](), [bot-management](), [bots](), [cloudflare](), [network-services](), [product-news](), [robots](), [search](), [sync](), [training]() ### AI overview Cloudflare introduces Bot Preference Sync, which updates robots.txt preferences to match configured AI bot policies for Search, Agent, and Training traffic. ### Source excerpt Cloudflare's new Bot Preference Sync automatically aligns your robots.txt file with your AI bot policies for Search, Agent, and Training. Easily manage which bots access your content without maintaining static files. ## Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control DevFeed: [Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control]() Original publisher: [Read original article]() Author: Michelle Horton Published: 2026-08-19T16:00:00Z Content type: tutorial Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Cosmos](), [AI, ML & Data Engineering]() Tags: [agentic-ai-generative-ai](), [cosmos](), [deployment](), [edge](), [edge-computing](), [featured](), [foundation-models](), [inference](), [jetson](), [latency](), [nvidia](), [on-device](), [physical-ai](), [post-training](), [robotics](), [robotics-simulation](), [robots](), [simulation-modeling-design](), [thor](), [tutorial]() ### AI overview A tutorial on post-training NVIDIA Cosmos 3 Edge as an on-device robot manipulation policy, serving it on Jetson Thor, running receding-horizon inference, and evaluating it in closed-loop simulation. ### Source excerpt Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for... ## Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets DevFeed: [Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets]() Original publisher: [Read original article]() Author: Sundar Raghavan; Steven Palma; Cagatay Cali; Arron Bailiss; Yin Song Published: 2026-08-13T17:16:04Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [lerobot](), [hugging face](), [cloud-infrastructure](), [dataset](), [SDKs](), [Command-line interface](), [Open Source]() Tags: [agents](), [apache](), [aws](), [cli](), [code](), [data](), [datasets](), [hub](), [hugging-face](), [lerobot](), [models](), [open](), [open-source](), [robots](), [storage](), [strands-agents](), [train](), [xet]() ### AI overview This article describes a continuous robotics data loop using Strands Agents, LeRobot, Hugging Face Hub, and Hugging Face Storage Buckets. It covers recording demonstrations, collecting episodes, training policies on growing datasets, deploying checkpoints, and using mutable Xet-backed storage to reduce repeated data transfers. ### Source excerpt Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets You have an agent that can already record a demonstration and push it to the Hugging Face Hub. Now you want to run that loop continuously: collect episodes through the day, train a policy on the growing dataset, deploy it, and pull the next batch back to improve it. Run that loop once and every piece works. Run it every day and you start paying for the same byte transfers over and over. ## How Physical Intelligence unified its robotics data stack with Postgres managed by ClickHouse DevFeed: [How Physical Intelligence unified its robotics data stack with Postgres managed by ClickHouse]() Original publisher: [Read original article]() Author: ClickHouse Published: 2026-08-06T00:00:00Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [Robotics](), [foundation-models](), [data](), [Artificial Intelligence](), [Cloud]() Tags: [ai](), [clickhouse](), [data](), [foundation-models](), [model](), [research](), [robotics](), [robots]() ### AI overview Physical Intelligence describes how it uses ClickHouse Cloud and ClickHouse-managed Postgres to support robotics foundation-model research. The unified data stack combines analytical and transactional workloads, helping the company explore datasets that have grown to roughly 10-100 billion rows. ### Source excerpt Physical Intelligence runs both its OLAP and OLTP workloads on ClickHouse managed Postgres and ClickHouse Cloud ## What happens to the internet when robots act like humans? DevFeed: [What happens to the internet when robots act like humans?]() Original publisher: [Read original article]() Author: Phoebe Sajor Published: 2026-07-31T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [AI Bots]() Tags: [agentic](), [agentic-ai](), [agents](), [ai](), [ai-governance](), [bots](), [podcast](), [robots](), [se-stackoverflow](), [se-tech](), [wordpress]() ### AI overview A podcast discussion about AI agents acting like humans online, the shared human-and-agent internet experience, and protecting human actions from malicious bots. ### Source excerpt Ryan welcomes WPEngine CTO Ramadass Prabakar to the show to chat about what happens--and what we should do--when agents start acting like humans online, how our internet is evolving to serve both human and agentic experiences from the same interface, and what we can do to differentiate and protect human actions online from malicious bot activity. ## Gemini Robotics 2 brings whole body intelligence to robots DevFeed: [Gemini Robotics 2 brings whole body intelligence to robots]() Original publisher: [Read original article]() Author: Carolina Parada Published: 2026-07-28T13:21:37Z Content type: article Language: en Sources: [Google DeepMind News]() Topics: [Robotics](), [AI Models](), [Artificial Intelligence](), [vlm](), [multimodal]() Tags: [agent](), [ai](), [ai-models](), [collaboration](), [gemini](), [models](), [multimodal](), [on-device](), [robotics](), [robots](), [teamwork](), [vision]() ### AI overview Gemini Robotics 2 is presented as an intelligence layer for adaptable robots, enabling whole-body control, dexterous manipulation, multi-robot teamwork, and adaptation to new robotic bodies. The article describes three models: a vision-language-action model for motor control, an embodied reasoning vision-language model for communication and multi-step planning, and an on-device model optimized for local operation. ### Source excerpt From feet to fingertips -- we are teaching robots intelligent whole-body control, fine dexterity, and teamwork to complete a broad range of complex tasks. ## SceneSmith uses collaborative AI agents to create 3D environments for robot training DevFeed: [SceneSmith uses collaborative AI agents to create 3D environments for robot training]() Original publisher: [Read original article]() Author: Alex Shipps | MIT CSAIL Published: 2026-07-13T18:50:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [AI research agents](), [robot grasping simulation](), [Simulation](), [vlm](), [Artificial Intelligence](), [Computer Science and Artificial Intelligence Laboratory (CSAIL)]() Tags: [3-d](), [3d](), [adversarial-machine-learning](), [agents](), [ai-agents](), [artificial-intelligence](), [computer-science-and-artificial-intelligence-laboratory-csail](), [computer-science-and-technology](), [electrical-engineering-and-computer-science-eecs](), [foundation-models](), [general-purpose-robotics](), [gpt-5-2](), [machine-learning](), [mit-csail](), [mit-eecs](), [mit-schwarzman-college-of-computing](), [national-science-foundation-nsf](), [nicholas-pfaff](), [research](), [robot-simulations](), [robotics](), [robots](), [russ-tedrake](), [scene-generation](), [scenesmith](), [school-of-engineering](), [simulation](), [simulation-ready-indoor-scenes](), [virtual-playgrounds](), [vision-language-models-vlms](), [zero-shot-policy]() ### AI overview MIT CSAIL and Toyota Research Institute researchers developed SceneSmith, a system that uses three collaborative AI agents to create realistic 3D environments for robot training. The scenes can be loaded into physics simulation software, allowing robots to practice tasks before real-world testing. ### Source excerpt "SceneSmith" system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores. ## Amazon and University of Michigan give robots a sense of touch DevFeed: [Amazon and University of Michigan give robots a sense of touch]() Original publisher: [Read original article]() Author: Mani Nambi; Nima Fazeli Published: 2026-07-10T17:13:31Z Content type: article Language: en Sources: [Amazon Science homepage]() Topics: [contact-rich manipulation]() Tags: [amazon](), [amazon-robotics-research](), [contact-rich-manipulation](), [dataset-development](), [dexterous-robot-manipulation](), [gelsight-mini-sensor](), [hydroelastic-contact-model](), [hydroshear-simulator](), [physics](), [reinforcement-learning](), [reinforcement-learning-robotics](), [robot-grasping-simulation](), [robot-sense-of-touch](), [robotic-manipulation](), [robotics](), [robots](), [sim-to-real-transfer-robotics](), [training]() ### AI overview HydroShear is a physics-based tactile-force simulator that trains robots for dexterous, contact-rich manipulation in simulation and transfers the resulting policies to real-world tasks. ### Source excerpt HydroShear, a new physics-based simulator, teaches robots how to use their sense of touch to perform complex manipulation tasks, in a way that transfers seamlessly to the real world. ## Tiny robot boats build floating structures DevFeed: [Tiny robot boats build floating structures]() Original publisher: [Read original article]() Author: Rachel Gordon | MIT CSAIL Published: 2026-07-09T15:50:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Robotics](), [Computer Science and Artificial Intelligence Laboratory (CSAIL)](), [Computer science]() Tags: [alejandro-gonzalez-garcia](), [aquatic-robots](), [architecture](), [artificial-intelligence](), [autonomous-vehicles](), [bioinspiration](), [cities](), [computer-science-and-artificial-intelligence-laboratory-csail](), [computer-science-and-technology](), [daniela-rus](), [electrical-engineering-and-computer-science-eecs](), [fire-ants](), [floatform](), [floating-infrastructure](), [hybrid-coordination](), [infrastructure](), [machine-learning](), [mit-csail](), [mit-eecs](), [mit-schwarzman-college-of-computing](), [mit-sea-grant](), [mit-sea-grant-program](), [mit-senseable-city-lab](), [modular-robotic-boats](), [modular-self-reconfigurable-robots](), [niklas-hagemann](), [nonlinear-hydrodynamics](), [raft](), [research](), [robot-boats](), [robot-self-assembly](), [robotics](), [robots](), [school-of-architecture-and-planning](), [school-of-engineering](), [science](), [self-reconfiguration](), [senseable-city-lab](), [snap](), [swarm](), [swarm-robots](), [tiny](), [transportation](), [ultrasonic-beacon-system](), [urban-studies-and-planning](), [water](), [wei-wang]() ### AI overview MIT researchers developed FloatForm, a swarm of small robotic boats that can assemble into reconfigurable structures on the water and later break apart and reassemble into new configurations with minimal human direction. ### Source excerpt MIT researchers developed FloatForm, a swarm of small aquatic robots that snap together like ants forming a raft, assembling into reconfigurable structures on the water. ## Introducing Robostral Navigate DevFeed: [Introducing Robostral Navigate]() Original publisher: [Read original article]() Published: 2026-07-08T12:00:59Z Content type: news Language: en Sources: [Mistral AI Blog]() Topics: [Robotics](), [Artificial Intelligence](), [Benchmark](), [Reinforcement learning](), [Simulation and Design]() Tags: [ai](), [benchmark](), [benchmarks](), [model](), [models](), [performance](), [reinforcement-learning](), [robotics](), [robots](), [technology](), [training](), [validation]() ### AI overview Robostral Navigate is an 8B embodied-navigation model that guides robots through complex environments from a single RGB camera and plain-language instructions. It achieves 76.6% success on unseen R2R-CE validation, outperforming systems using depth or multiple cameras, and runs across wheeled, legged, and flying robots. ### Source excerpt Introducing Robostral Navigate: 8B model achieving 76.6% on R2R-CE with just a single RGB camera. No depth sensors, LiDAR, or multiple cameras needed. ## Develop Humanoid Robot Policies End-to-End with NVIDIA Isaac GR00T DevFeed: [Develop Humanoid Robot Policies End-to-End with NVIDIA Isaac GR00T]() Original publisher: [Read original article]() Author: Elizabeth Goodman Published: 2026-07-07T17:05:42Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Robotics](), [Model Development](), [Open Source](), [Training AI Models](), [datasets](), [multimodal](), [Deployment](), [Simulation and Design](), [Tooling]() Tags: [ai-foundation-models](), [apache](), [building](), [data](), [deployment](), [developers](), [development](), [evaluation](), [featured](), [humanoid-robots](), [images](), [integrations](), [isaac](), [isaac-sim](), [manufacturing](), [model](), [multimodal](), [nvidia](), [open-source](), [robotics](), [robotics-simulation](), [robots](), [simulation-modeling-design](), [software](), [tooling](), [training](), [workflows]() ### AI overview NVIDIA Isaac GR00T Development Platform unifies humanoid robot development workflows, combining data collection, simulation-based training, evaluation, and deployment. The article highlights the open Isaac GR00T 1.7 vision-language-action model, which accepts language and images and can be adapted to robots, tasks, and environments through post-training. ### Source excerpt As more teams move from humanoid robot bring-up to task-specific skill development, the need for repeatable development workflows is growing. Building humanoids... ## This Shit is Hard: Getting software to run on robots (and then getting the robots to work) DevFeed: [This Shit is Hard: Getting software to run on robots (and then getting the robots to work)]() Original publisher: [Read original article]() Published: 2026-07-01T00:00:00Z Content type: article Language: en Sources: [Chainguard: Unchained]() Topics: [Robotics](), [Software](), [Embedded Software Dev](), [cloud-infrastructure](), [CI/CD](), [Security]() Tags: [asylon-robotics](), [autonomous](), [chainguard-containers](), [chainguard-customer](), [ci-cd](), [cloud-infrastructure](), [critical-infrastructure](), [drone](), [embedded](), [engineering](), [firewalls](), [hardware](), [robot-dogs](), [robot-drones](), [robotics](), [robots](), [software](), [this-shit-is-hard]() ### AI overview Asylon Robotics Chief Engineer Eric Timmons explains the engineering challenges of deploying software on robotic dogs and drones, where embedded systems, hardware dependencies, CI/CD, cloud infrastructure, and real-world operating conditions interact. ### Source excerpt Asylon Robotics Chief Engineer Eric Timmons shares lessons from building autonomous robots, where software, hardware, and real-world constraints collide. ## Building Which-Fuji: A Side Project for Fujifilm Camera Enthusiasts DevFeed: [Building Which-Fuji: A Side Project for Fujifilm Camera Enthusiasts]() Original publisher: [Read original article]() Author: masnun Published: 2026-06-28T06:11:45Z Content type: opinion Language: en Sources: [Abu Ashraf Masnun]() Topics: [Website](), [Web](), [Cloudflare](), [Search engine optimization (SEO)](), [Google Search](), [Structured-data](), [Content Management System]() Tags: [building](), [camera](), [cloudflare](), [cloudflare-pages](), [google-search](), [project](), [robots](), [seo](), [side-project](), [uncategorized]() ### AI overview The article presents Which-Fuji, a small website for helping people choose a Fujifilm camera. It describes the site's browse page, quiz, camera reviews, and longer-form articles, along with the author's reasons for building it. The project uses a static-first architecture on Cloudflare Pages and explores structured data, sitemaps, robots policies, and discovery in Google Search. ### Source excerpt I've been quietly working on a small side project for the last few weeks, and it's finally at a point where I can share it properly. Which-Fuji is a tiny website I built to help people figure out which Fujifilm camera to buy. That's it. No reviews, no affiliate spam, no walls of text -- just [...] The post Building Which-Fuji: A Side Project for Fujifilm Camera Enthusiasts appeared first on Abu Ashraf Masnun. ## From the Hugging Face Hub to robot hardware with Strands Agents and LeRobot DevFeed: [From the Hugging Face Hub to robot hardware with Strands Agents and LeRobot]() Original publisher: [Read original article]() Author: Sundar Raghavan; Cagatay Cali Published: 2026-06-17T10:18:05Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [AI Bots](), [SDKs]() Tags: [agents](), [hardware](), [hub](), [hugging-face](), [inference](), [integration](), [lerobot](), [mesh](), [robots](), [strands-agents]() ### AI overview A tutorial for using the Strands Robots SDK and LeRobot to record simulated demonstrations, run policies, deploy the same agent code to physical hardware, and coordinate robot fleets. ### Source excerpt You have a robot, a folder of demonstration data on the Hugging Face Hub, and a new task you want it to learn. Today that takes five separate tools: one to record new demonstrations, another to train, a third to test in simulation, custom code to deploy on hardware, and yet another to coordinate when you have more than one robot. The pieces work on their own. They don't talk to each other. ## MIT researchers develop a real-time spatiotemporal memory framework for robots DevFeed: [MIT researchers develop a real-time spatiotemporal memory framework for robots]() Original publisher: [Read original article]() Author: Adam Zewe | MIT News Published: 2026-06-17T04:00:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Robotics](), [Artificial Intelligence](), [Computer vision]() Tags: [3d-scene-graphs](), [aeronautical-and-astronautical-engineering](), [ai](), [algorithms](), [artificial-intelligence](), [autonomous-vehicles](), [computer-science-and-technology](), [computer-vision](), [daaam](), [describe-anything-anywhere-at-any-moment](), [electrical-engineering-and-computer-science-eecs](), [laboratory-for-information-and-decision-systems-lids](), [luca-carlone](), [machine-learning](), [map](), [memory](), [mit-schwarzman-college-of-computing](), [nicolas-gorlo](), [paper](), [real-time](), [research](), [robot-memory](), [robotic-perception](), [robotics](), [robots](), [school-of-engineering](), [spatial](), [spatiotemporal-mapping]() ### AI overview MIT researchers developed a long-term spatiotemporal memory framework that helps robots form and recall detailed models of large environments. The system combines map representations with language-based descriptions, answers environmental questions in plain language, and runs fast enough for real-time mobile-robot use. ### Source excerpt A new spatial memory system for robots efficiently captures details about the objects they see while exploring their environment. ## The Impact Of Humanoid Robots On Humanity DevFeed: [The Impact Of Humanoid Robots On Humanity]() Original publisher: [Read original article]() Author: hello@smashingmagazine.com (Carrie Webster) Published: 2026-06-12T08:00:00Z Content type: opinion Language: en Sources: [Articles on Smashing Magazine -- For Web Designers And Developers]() Topics: [Humanoid Robots](), [Robotics](), [Artificial Intelligence](), [Software](), [Code]() Tags: [ai](), [artificial-intelligence](), [automation](), [engineering](), [humanoid-robots](), [inspiration](), [opinion-column](), [production](), [prototypes](), [robotics](), [robots](), [software]() ### AI overview Humanoid robots are moving from demonstrations and research prototypes into commercial factory deployments, while advances in artificial intelligence are making them more capable of learning tasks by observing humans. Their increasing realism and autonomy may create significant social, psychological, economic, and ethical challenges as the distinction between humans and machines becomes harder to perceive. ### Source excerpt We have officially moved past the era of humanoid robots as mere public relations stunts. As they become increasingly lifelike, society may soon face profound social, psychological, and ethical challenges. What happens when the boundary between humans and machines becomes almost impossible to distinguish? ## Your robots.txt Says Yes. Your Firewall Says 403. DevFeed: [Your robots.txt Says Yes. Your Firewall Says 403.]() Original publisher: [Read original article]() Author: Brent Leekley Published: 2026-06-11T00:00:00Z Content type: article Language: en Sources: [brent.leekley.me blog]() Topics: [Cloudflare](), [AI Bots](), [AI search](), [Crawler](), [Firewall]() Tags: [403](), [aeo](), [ai-bots](), [ai-crawl-control](), [ai-crawlers](), [ai-search](), [ai-visibility](), [blocking](), [bot-management](), [chatgpt-user](), [cloudflare](), [firewall](), [gptbot](), [oai-searchbot](), [perplexity](), [robots](), [robots-txt]() ### AI overview A field note explains how a Cloudflare AI-bot blocking setting returned 403 responses to all AI agents even though the site's robots.txt allowed AI search and blocked training crawlers. It distinguishes training crawlers, search indexers, and user-triggered fetchers, and recommends auditing enforcement at the firewall layer. ### Source excerpt A client's robots.txt welcomed AI search and blocked training crawlers, but Cloudflare's blunt AI-bot toggle was returning 403 to every AI agent at the edge. How the block was found, the AI Crawl Control fix, and why you should audit enforcement, not intent. ## Real-world grounding in agentic AI DevFeed: [Real-world grounding in agentic AI]() Original publisher: [Read original article]() Author: Rose Yu Published: 2026-06-08T19:00:00Z Content type: article Language: en Sources: [Amazon Science homepage]() Topics: [AI Bots](), [dashboards]() Tags: [agentic-ai](), [agentic-ai-grounding](), [ai](), [ai-agent-hallucinations](), [ai-agents](), [calibrated-uncertainty](), [formal-verification-ai](), [foundation-models-physical-ai](), [hallucinations](), [large-language-models-llms](), [machine-learning](), [physical-ai](), [physics-guided-deep-learning](), [robotics](), [robots](), [uncertainty-quantification-llms]() ### AI overview The article proposes four approaches for grounding AI agents in physical-world operational environments. It argues that integrating domain data, physical principles, and simulations can reduce harmful hallucinations and improve safe, trustworthy agent behavior. ### Source excerpt Four approaches can dramatically improve the performance and trustworthiness of AI agents in operational environments. [Next page]()