News / #robotics Tag Robotics 500 articles archived under #robotics · RSS Sign in to follow TechCrunch — AI news-outlet 22d ago TechCrunch Disrupt 2026: Aaron Edsinger brings Hello Robot’s Stretch 4 to life onstage Hello Robot CEO and co-founder Aaron Edsinger will bring Stretch 4 for a live demo on the Real World AI Stage at TechCrunch Disrupt 2026. Register before September 25 to save up to $200, plus get a second pass at 50% off. 9 NVIDIA Developer Blog official-blog 22d ago Accelerating a ROS 2 Node with an AI Agent and NVIDIA Isaac ROS GPU acceleration can speed up compute-intensive robotics workloads, but a fast CUDA kernel alone does not guarantee a fast ROS 2 graph. As messages move between... 28 arXiv — Machine Learning research 22d ago Prioritized Rollouts for Efficient World Model-based Vision-Language-Action Policy Optimization arXiv:2609.22879v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have emerged as a powerful paradigm for embodied intelligence, but fine-tuning them with reinforcement learning (RL) remains constrained by the cost of real-world robot interaction. Model-based… 38 arXiv — NLP / Computation & Language research 22d ago The Role of AI in Online Reviews arXiv:2609.22198v1 Announce Type: new Abstract: The rapid adoption of large language models (LLMs) creates new opportunities for strategic content generation on online platforms, including potentially harmful forms of manipulation that may undermine platform effectiveness and… 11 arXiv — NLP / Computation & Language research 23d ago From Generation to Detection: Exploration of Discourse Driven Scenario based LLM Generated Fake News arXiv:2609.20838v1 Announce Type: new Abstract: In this study, we examine how modern LLMs generate and detect fake news under controlled settings across four manipulation scenarios. These are open-ended generation, rewriting, manipulation prompts and attribute based prompts… 11 arXiv — NLP / Computation & Language research 23d ago Do Personality-Tuned LLMs Make Better Social Agents? arXiv:2609.21857v1 Announce Type: new Abstract: LLMs are increasingly used in social simulations for socially interactive agents and robots, offering more flexibility than rule-based systems. However, even though they mimic human behaviour very well, there is a persistent… 18 TechCrunch — AI news-outlet 25d ago A startup that builds other startups raised $100M, and is all-in on physical AI UP.Labs, now doing business under the name Vantora, is building startups for industrial corporations. 35 r/LocalLLaMA community 26d ago NGL, I’m hyped to see if Qwen3.8 27b can make me a sandwich. Instant buy for me. Saw this little dude in a Forbes article ( https://www.forbes.com/sites/johnkoetsier/2026/08/18/american-humanoid-robot-launches-for-just-1688-delivery-this-fall-made-in-san-francisco/ ) This is definitely for the DIY researcher crowd who want to dip their toes into the robotics… 14 r/MachineLearning community 26d ago Future of general LLM work (interp/inference/alignment) vs agentic/physical AI (VLA, multimodal) for career [D] I'm at a crossroads with two grad school options that would take me in somewhat different research directions, and I wanted some general advice on these fields, their growth, and industry alignment. I'm leaving out the specifics of the programs since I'm tryna compare the… 5 Hugging Face Daily Papers research 27d ago In-Context Robot Learning with VLM Agents Abstract Enabling robots to adapt to unfamiliar environments as readily as humans remains a moonshot goal of embodied AI. No finite collection of demonstrations can cover every task and situation a robot will encounter, making the ability to learn from context at deployment… 24 TechCrunch — AI news-outlet 27d ago Iceland-based Treble raises $18 million for its voice simulation platform Treble's voice simulation platform is used by voice AI model developers, AI wearable, and robotics companies 34 arXiv — Machine Learning research 27d ago Changepoint-Aware World Models: Detecting Dynamics Shifts and Recovering by Forgetting Stale Replay in Model-Based RL arXiv:2609.18950v1 Announce Type: new Abstract: A robot's learned model of its own dynamics is only valid until those dynamics change: actuators wear, payloads shift, and joints stiffen. A model-based agent that keeps training as if nothing happened adapts slowly, dragged back… 26 Hugging Face Daily Papers research 27d ago EventEgoHands++: Event-based Egocentric 3D Hand Mesh Reconstruction with Real Dataset Abstract 3D hand mesh reconstruction is a challenging yet essential task for downstream applications, including human-robot interaction and AR/VR. Although conventional cameras have been widely adopted for this task, methods that rely on them struggle in low-light environments… 22 NVIDIA Developer Blog official-blog 27d ago How to Use AI Agents to Prepare 3D Scenes for Simulation Agentic AI workflows can be used to prepare and validate digital twins for physical AI systems. Agents can inspect 3D scenes, author simulation-relevant data in... 16 NVIDIA Developer Blog official-blog 28d ago TensorRT Edge-LLM Completes the MLPerf Edge Agentic Benchmark 6.4x Faster on Jetson AGX Thor AI agents are moving from cloud data centers to vehicles, robots, and other edge devices. Unlike a chatbot that answers a single prompt, an agent works through... 14 TechCrunch — AI news-outlet 28d ago Robots are waiting for a ChatGPT moment: Nvidia’s Les Karpas explains why at TechCrunch Disrupt 2026 The robotics industry is still waiting for their breakthrough into day-to-day life. Nvidia's Les Karpas has an answer as to why at TechCrunch Disrupt 2026. Register before September 25 to save up to $200 on your pass. 9 arXiv — Machine Learning research 28d ago Autonomous Droplet Navigation via Model-Based Reinforcement Learning arXiv:2609.16369v1 Announce Type: new Abstract: Precise manipulation of liquid droplets underpins lab-on-a-chip platforms for diagnostics, chemical synthesis, and biological assays. Yet autonomous droplet transport through confined geometries of varying complexity remains an… 18 arXiv — Machine Learning research 28d ago MyoFlow: Anchor-Tied Rectified Flow for HD-sEMG Gesture Recognition Across Sessions and Subjects arXiv:2609.17194v1 Announce Type: new Abstract: High-density surface electromyography (HD-sEMG) gesture recognition supports prosthetic control, assistive robotics, and rehabilitation, but electrode re-donning and physiological variability cause distribution shifts that degrade… 21 Ars Technica — AI news-outlet 29d ago Agility’s new humanoid robot will stop, squat to avoid harming human coworkers Robots can start working outside physical cages and without safety barriers. 8 TechCrunch — AI news-outlet 29d ago Discover how to take your startup from prototype to production at TechCrunch Disrupt 2026 Learn how to scale your startup breakthrough from prototype to production at TechCrunch Disrupt 2026 with scaling leaders, Adrian Macneil (Foxglove), John Mackey (MBRYONICS), and Boris Sofman (Bedrock Robotics. Register before September 25 to save up to $200 on your pass. 4 Hugging Face Daily Papers research 29d ago Agent as Policy for Robotic Manipulation Abstract A general-purpose agent directly controls a physical robot by interpreting visuals, writing executable programs, and revising actions based on physical feedback across diverse manipulation tasks. Generated by thinkingmachines/Inkling-Small We demonstrate that a… 36 Ars Technica — AI news-outlet 1mo ago Founder’s cost-cutting obsession drove Unitree lead in cheap humanoid robots Wang Xingxing micromanaged Unitree to success—will his leadership style scale? 9 arXiv — NLP / Computation & Language research 1mo ago Agent as Policy for Robotic Manipulation arXiv:2609.12541v1 Announce Type: new Abstract: We demonstrate that a general-purpose agent can directly drive a physical robot throughout task execution without any task-specific or environment-specific training. We introduce Agent as Policy (AGP), which places task planning… 24 Hugging Face Daily Papers research 1mo ago Breaking the Vision-Action Shortcut: Latent Interface Training for Generalizable Robotics Foundation Models Abstract LIT improves robot action generalization by first training pose-conditioned action priors without images, then constraining visual inputs through a pose-supervised latent interface that preserves spatial goal information. Generated by thinkingmachines/Inkling-Small… 20 Simon Willison community 1mo ago Quoting Paul Ford For a while, I must admit, it looked as if software developer roles like mine were done for. How could we fight against tireless robots? But our industry is slowly realizing that making truly cutting-edge software still requires humans to think and work together, to maximize… 23 Ars Technica — AI news-outlet 1mo ago I spent $4,000 on a robot dog from China Unitree might be the world’s most important robotics company. 18 TechCrunch — AI news-outlet 1mo ago Mecka AI nears $500M valuation in Sequoia-led deal amid rush for robot training data The round for the two-year-old startup is coming together months after Mecka announced its Series A. 32 Hacker News — AI on Front Page community 1mo ago I spent $220 on Google app ads and 60% of the installs were robots Article URL: https://dayzlegame.com/blog/google-ads-bot-farm/ Comments URL: https://news.ycombinator.com/item?id=49662990 Points: 257 # Comments: 142 22 Hugging Face Daily Papers research 1mo ago Adaptive Bridge: A Proxy-Based Decoupling Layer for Mitigating DDS Backpressure in ROS 2 Abstract A proxy layer isolates critical ROS 2 subscribers from degraded ones via topic splitting and dynamic rate control to eliminate DDS backpressure. Generated by thinkingmachines/Inkling-Small In systems built on Robot Operating System 2 (ROS 2) and using Data Distribution… 26 Hugging Face Daily Papers research 1mo ago Memory as Plans: World-Action Modeling with Memory-Grounded Planning Abstract MaP-WAM improves non-Markovian robotic manipulation by separating memory-grounded planning from plan-conditioned execution, using compact episodic segment records and progress-calibrated action chunks to maintain fixed inference latency. Generated by… 35 arXiv — Machine Learning research 1mo ago HuRo: Robotizing Human Videos for Scalable VLA Pretraining arXiv:2609.10706v1 Announce Type: cross Abstract: Human video datasets have emerged as a compelling alternative to expensive real-robot data, offering rich diversity at scale. To bridge the human-to-robot embodiment gap, existing approaches either robotize videos in task-matched… 5 Hugging Face Daily Papers research 1mo ago SpatialBlock: Enhancing Spatial Intelligence in LVLMs via Synthetic Block-Stacking Problem Abstract Large vision-language models trained on synthetic block-manipulation tasks improve 3D spatial reasoning and generalize to real-world visual tasks. Generated by thinkingmachines/Inkling-Small Large Vision-Language Models (LVLMs) have achieved strong performance on… 25 Hacker News — AI on Front Page community 1mo ago Show HN: Bodily Oddities When I was about 11 years old, my best friend and I were playing during recess at school, and I was carrying him around on my back, presumably pretending to be a multipart attack robot. All of a sudden, my heart started hurting, and I collapsed to my knees, and the robot was no… 7 TechCrunch — AI news-outlet 1mo ago Maven Robotics wants to steal your robot deployment deal Maven Robotics emerged from stealth today with a $100 million Series A and active deployments. 29 The Information — AI news-outlet 1mo ago Chinese CEO Laments Many Robotics Firms Fabricate Revenue The co-founder and CEO of Mech-Mind Robotics, a Beijing-based robotics firm that recently went public, said in a post on WeChat on Thursday that many Chinese embodied AI companies are “creating false and unsustainable revenue,” in response to The Information’s scoop on Chinese… 34 Hugging Face Daily Papers research 1mo ago SyncWorld: Visual Calibration Enables World Models as Zero-Shot Simulators Abstract SyncWorld is an action-conditioned world model that uses visual calibration episodes to learn environment-specific action-to-visual mappings, enabling zero-shot simulation and test-time policy improvement across unseen robotic settings. Generated by… 6 Hugging Face Daily Papers research 1mo ago Show-Harness: Just a VLM Agent Can Play Robots Abstract Show-Harness links vision-language models to robot control via discrete semantic actions interpreted by embodiment-specific modules, enabling zero-shot and efficient fine-tuned deployment across robots and GUIs. Generated by thinkingmachines/Inkling-Small Foundation… 6 Hugging Face Daily Papers research 1mo ago TANGO: Humanoid Navigation in Cluttered Environments with a Whole-Body Vision-Language-Action Model Abstract TANGO is a vision-language framework that predicts whole-body joint actions for humanoid robots to navigate cluttered indoor environments using only simulated training data. Generated by thinkingmachines/Inkling-Small We study the problem of navigating cluttered indoor… 36 Hugging Face Daily Papers research 1mo ago OpenWAM: An Open, Modular Exploration Towards Systematic World-Action Model Pretraining Abstract OpenWAM factorizes world-action pretraining into modular components to identify key design principles, yielding a scalable open model with strong simulation and real-robot performance. Generated by thinkingmachines/Inkling-Small World-Action Models inherit world… 34 Hugging Face Daily Papers research 1mo ago Measuring Language Transfer in Robot Policies: Adding Greek to a Cosmos3 Vision-Language-Action Policy Abstract Adding Greek to a robot vision-language-action model via machine-translated instructions reveals measurement pitfalls and shows bilingual training improves performance over monolingual baselines, though it remains far below English levels. Generated by… 35 Hugging Face Daily Papers research 1mo ago RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks? Abstract RoboSPA is a large-scale robotic manipulation benchmark that evaluates vision-language-action models on fine-grained spatial reasoning and long-horizon procedural planning across progressively harder task variants. Generated by thinkingmachines/Inkling-Small… 25 Hugging Face Daily Papers research 1mo ago CosmoH2G: A Hand-to-Gripper Transfer Dataset and Baseline Method for Object Manipulation with Complex Spatial Movements Abstract A two-stage framework predicts sparse gripper keyframes and continuous actions to transfer complex hand demonstrations to robotic grippers while reducing drift via kinematic optimization. Generated by thinkingmachines/Inkling-Small Transferring human hand demonstrations… 23 Hugging Face Daily Papers research 1mo ago GE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation Abstract GE-Act 2.0 is a world-action model trained from scratch with a control-oriented autoencoder, single-step visual planner, and inverse dynamics model, using knowledge-aligned selective optimization to enable scalable zero-shot robot manipulation across diverse skills and… 32 The Information — AI news-outlet 1mo ago China Curbs Humanoid IPOs After Unitree’s Volatile Debut Chinese regulators are tightening the approval for humanoid startups seeking to go public after a volatile debut by industry leader Unitree Robotics, as they aim to cool down a sizzling sector rife with copycats but little real technological breakthroughs. The Chinese Securities… 32 The Information — AI news-outlet 1mo ago China Curbs Humanoid IPOs After Unitree’s Volatile Debut Chinese regulators are tightening the approval for humanoid startups seeking to go public after a volatile debut by industry leader Unitree Robotics, as they aim to cool down a sizzling sector rife with copycats but little real technological breakthroughs. The Chinese Securities… 27 The Information — AI news-outlet 1mo ago Hugging Face Is Making A Big Robotics Push Nvidia is paying a steep price for Hugging Face , a repository of open source models, primarily for its strategic position in the center of the open source AI world. But it turns out Nvidia is also getting a budding robot business that could help CEO Jensen Huang fulfill the… 15 Hugging Face Daily Papers research 1mo ago EmbodiedSkills: A Unified Framework for Orchestrating, Training, and Deploying VLA Agents Abstract EmbodiedSkills proposes a unified framework that validates and verifies robot skill executions through a fixed interface, enabling closed-loop embodied agents with adaptable low-level vision-language-action policies. Generated by thinkingmachines/Inkling-Small… 8 r/LocalLLaMA community 1mo ago I REALLY hope the new gemma 5 family sticks to the "chat model first" philsophy and doesn't fall into the Qwen trap It just seems every local 30b class model is just trying so hard to be the next Qwen that they all just kinda blend into a mass of code focused models. I really like how gemma 4 31b turned out with it feeling a lot less robotic and more creative than other models even knowing… 33 r/MachineLearning community 1mo ago Roboticists working in Learning-from-Demonstrations and Behavioral Cloning : What is going on in your field these days? [D] Is LfD and BC research being effected by recent advances in (so-called) Frontier LLMs? Or is research in LfD and BC sort of going along in an independent direction from these? Are you seeing any use from ViTs or VLAs? Any other recent advances you would like to bring up?  … 28 arXiv — Machine Learning research 1mo ago VLA-Precision: Asymmetric Co-Bootstrapping for Efficient Real-World Online RL of Vision-Language-Action Models arXiv:2609.04355v1 Announce Type: cross Abstract: Pretrained vision-language-action (VLA) models enable broad manipulation but remain unreliable in tasks demanding precision and repeatability. Applying real-world online reinforcement learning (RL) to VLA post-training enables… 19 Page 2 of 10 · 500 articles ← Newer Older →
