News / #robotics Tag Robotics 500 articles archived under #robotics · RSS Sign in to follow The Information — AI news-outlet 1mo ago Why Unitree’s 460% IPO Stock Pop Wasn’t Unusual in China Humanoid robot maker Unitree’s 460% surge in its Shanghai stock market debut on Wednesday was the latest in a series of eye-watering first trading-day pops fetched by some recent tech initial public offerings in mainland China’s stock market. It followed last month’s debut of… 37 The Information — AI news-outlet 1mo ago America Really, Really Hates Data Centers • The Big Read: AI promises to cure cancer. Scientists feel existential dread • The new robotics ‘ arms race ’: Who can do the craziest hype video? • Plus, Recommendations—our weekly pop culture picks: “ Dan Taberski’s Manifesto ,” “ A Tender Age ” and “ The End of Oak Street ”… 18 Hugging Face Daily Papers research 1mo ago τ_0-VLA: a Hierarchical Robot Foundation Model with World-Model-Guided Test-Time Computation Abstract A hierarchical vision-language-action model improves long-horizon robot manipulation by using world-model-guided test-time search to scale computation for high-level subtask decisions. Generated by thinkingmachines/Inkling-Small Long-horizon robot manipulation requires… 5 The Information — AI news-outlet 1mo ago The New Robotics ‘Arms Race’: Who Can Do the Craziest Hype Video? A couple months ago, a humanoid robot was dispatched to the top of Ecuador’s Mount Chimborazo, the surface point farthest from the center of the planet. It was a stunt arranged by Geologic Dome, a nonprofit that uses AI and robotics for nature conservation, which had obtained… 8 Hugging Face Daily Papers research 1mo ago GOAG: Generative and Object-Agnostic Grasp Planner for Dexterous Robotic Manipulation Abstract GOAG is an object-agnostic deep generative grasp planner that learns a gripper-specific contact surface distribution to sample valid grasps for unseen objects without object-specific training. Generated by thinkingmachines/Inkling-Small Multifingered grasping is a… 35 Hugging Face Daily Papers research 1mo ago EXIMO: VLM Guided Exploration of VLA Policies Abstract EXIMO efficiently fine-tunes large vision-language-action robot policies by combining VLM-guided exploration, imitation on orchestrated data, and residual off-policy reinforcement learning. Generated by thinkingmachines/Inkling-Small How to efficiently finetune robot… 6 arXiv — Machine Learning research 1mo ago SCAPE: Scenario-Conditioned Simulation-Augmented Policy Evaluation arXiv:2608.19425v1 Announce Type: cross Abstract: Reliable performance evaluation is a central bottleneck for deploying robot-learning policies in real-world conditions. Real-world testing is faithful but costly and difficult to scale, whereas simulation-based testing scales… 6 arXiv — Machine Learning research 1mo ago Fine-Tuning VLAs with Self-Demonstrated Generative Control for Multi-Task Manipulation arXiv:2608.19490v1 Announce Type: cross Abstract: State-of-the-art vision-language-action (VLA) models such as $\pi_{0.5}$ exhibit strong semantic understanding, instruction following and task behavior. However, when deployed on new robots, even minor mismatches in hardware… 5 arXiv — NLP / Computation & Language research 1mo ago NepOOC-M: Bilingual Nepali-English Benchmark and Comparative Analysis of Multimodal Architectures for OOC Detection arXiv:2608.19212v1 Announce Type: new Abstract: Out-of-context (OOC) misinformation pairs authentic images with misleading captions to construct false narratives without image manipulation, making detection a problem of multimodal alignment rather than image forensics. Despite… 20 The Information — AI news-outlet 1mo ago Robots Are in Their GPT-2 Era It’s no secret that AI-powered robots aren’t so good yet. They struggle with a broad range of simple tasks, from untangling cables to chopping vegetables. Nonetheless, morale is high among roboticists who are flush with venture cash as they work toward a “ ChatGPT moment ” when… 4 arXiv — Machine Learning research 1mo ago Allocating Recurrent Compute in Looped Language Models arXiv:2608.18230v1 Announce Type: new Abstract: Looped language models improve reasoning and knowledge manipulation by applying shared computation repeatedly. Existing systems usually repeat an entire layer stack, although a mixer and a dense feed-forward network (FFN) perform… 12 arXiv — Machine Learning research 1mo ago FedLNS: Leverage LayerNorm Signature Modeling to Mitigate Adversarial Manipulation in Federated LLMs arXiv:2608.18736v1 Announce Type: new Abstract: Federated training enables language models to learn from distributed private text, but the server cannot directly verify the local supervision or optimization process that produces each client update. A malicious client can… 25 arXiv — NLP / Computation & Language research 1mo ago MicroPython and CircuitPython: Pythons Quiet Takeover of IoT and Robotics arXiv:2608.18160v1 Announce Type: cross Abstract: Background: Python has become the dominant language in software and data science, yet embedded systems have remained tied to C/C++ due to performance and memory constraints. MicroPython and CircuitPython are changing this by… 26 arXiv — NLP / Computation & Language research 1mo ago Multimodal Rapport Estimation in Real-World HRI arXiv:2608.18401v1 Announce Type: cross Abstract: Evaluating interaction quality in real-world HRI is an important challenge. If interaction quality can be estimated reliably, the results can be used to improve dialogue strategies and ultimately enable robots to adapt their… 28 Hugging Face Daily Papers research 1mo ago Zetta ζ: An Efficient Closed-Loop Embodied Harness for Self-Evolving Physical Intelligence Abstract Zetta is a closed-loop embodied harness that evolves runtime critics and recovery skills online to govern physical execution at action frequency, achieving high success on robot benchmarks with faster inference and scaling self-exploration. Generated by… 36 Hugging Face Daily Papers research 1mo ago SoftVTBench: A Deformation-Aware Visuo-Tactile Dataset and Benchmark for Deformable-Object Manipulation Abstract SoftVTBench introduces a synchronized visuo-tactile dataset and deformation-aware benchmark for evaluating physical interaction quality during deformable-object manipulation. Generated by thinkingmachines/Inkling-Small Physical interaction quality is central to… 24 NVIDIA Developer Blog official-blog 1mo ago Developing NVIDIA Holoscan Applications with CLI, Skills, and AI Coding Agents NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics. HoloHub is its companion repository: a... 18 NVIDIA Developer Blog official-blog 1mo ago Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for... 24 The Information — AI news-outlet 1mo ago Chinese Humanoid Maker Unitree Shares Soar on Shanghai Debut Shares of Chinese humanoid robot maker Unitree Robotics soared on the debut on the Shanghai Stock Exchange on Wednesday, after raising 6.1 billion yuan ($905 million) in an initial public offering. The shares surged more than seven times its IPO price before closing 460% up,… 20 arXiv — Machine Learning research 1mo ago VLCP: Vision Language Control Policy Closed-Loop Code Replanning for Robot Manipulation arXiv:2608.16978v1 Announce Type: cross Abstract: Turning a frontier vision-language model into a robot policy usually means fine-tuning it to emit an action representation it never saw in pretraining, which throws away much of the reasoning that made the model worth reaching… 13 arXiv — NLP / Computation & Language research 1mo ago FollowUpBot: An LLM-Based Conversational Robot for Automatic Postoperative Follow-up arXiv:2507.15502v1 Announce Type: cross Abstract: Postoperative follow-up plays a crucial role in monitoring recovery and identifying complications. However, traditional approaches, typically involving bedside interviews and manual documentation, are time-consuming and… 5 Ars Technica — AI news-outlet 1mo ago Former SpaceX engineers are building a robotic factory for making steel parts “We're not necessarily building in a dogmatic fashion towards full autonomy.” 36 MIT Technology Review — AI news-outlet 1mo ago What happens when a kid’s robot best friend dies? When Xander first met Moxie, she taught him that when he was anxious, he could calm down by exhaling through his lips so that he buzzed like a bee. They practiced breathing like dragons to manage feeling mad and sniffing like bunnies to boost his energy. But in the six years… 17 Hugging Face Daily Papers research 1mo ago PRM-as-a-Judge 1.5: A Toolkit for Robot Process Assessment Abstract PRM-as-a-Judge 1.5 provides fine-grained process metrics and reliability tools to evaluate embodied robotic models beyond binary success rates. Generated by thinkingmachines/Inkling-Small Fine-grained robotic evaluation matters for understanding embodied models, going… 33 arXiv — Machine Learning research 1mo ago hint$^2$: Hierarchical World Models for Inference-Time Temporal Logic Guidance arXiv:2608.13678v1 Announce Type: cross Abstract: A central goal of robot learning is to enable robots to execute rich instructions specified at runtime. Large-scale language-conditioned policies have made substantial progress toward this goal, yet still struggle with temporal… 4 arXiv — NLP / Computation & Language research 1mo ago Agentic Transaction: Towards ACID-Compliant Agent Systems arXiv:2608.13900v1 Announce Type: cross Abstract: Large language model (LLM) agents are evolving from conversational assistants into autonomous systems that execute long-horizon tasks through reasoning, tool use, code generation, and workspace manipulation. As agents… 20 Hugging Face Daily Papers research 1mo ago HumanTracker: Towards Comprehensive and Human-Aligned Motion Tracking Benchmark Abstract HumanTracker introduces a large-scale benchmark and preference-aligned metric to evaluate humanoid motion tracking based on perceptual quality and physical contact stability. Generated by thinkingmachines/Inkling-Small Humanoid motion tracking is central to… 5 r/MachineLearning community 1mo ago [Career Advice] Final-year in Physical AI / Robotics. How is the market & global hiring for freshers? [D] Hi everyone, I am heading into my final year of my BTech at a tier 1 college in India and just wrapped up a Physical AI internship at a MNC, working heavily with NVIDIA Isaac Sim and OpenFOAM. My background is fully focused on robotics and autonomy. My tech stack includes:… 35 Hugging Face Daily Papers research 2mo ago H2R-Bench: Benchmarking Human-to-Robot Manipulation Video Generation in World Models Abstract H2R-Bench evaluates video generation models on transforming human manipulation videos into robot-centric demonstrations across embodiment constraints and interaction fidelity. Generated by thinkingmachines/Inkling-Small Large-scale manipulation data is essential for… 22 arXiv — Machine Learning research 2mo ago Towards Socially Compliant Navigation in Deep Reinforcement Learning via Proxemics-Based Reward Modeling arXiv:2608.12917v1 Announce Type: new Abstract: Developing effective robot navigation methods in crowded environments is essential for real-world applications. Although recent deep reinforcement learning (DRL) methods have improved navigation performance in crowded environments,… 31 Hugging Face Daily Papers research 2mo ago DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation Abstract DreamX-Phi 1.0 is an action-conditioned video world model for robotic manipulation that uses geometric attention encoding, depth estimation, object masks with a frozen teacher, and distillation to generate faithful future observations. Generated by… 23 Hugging Face official-blog 2mo ago Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets Back to Articles a]:hidden"> Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets Enterprise Article Published August 13, 2026 Upvote 4 Sundar Raghavan rsundaraws amazon Steven Palma imstevenpmwork amazon Cagatay Cali cagataydev… 34 Hugging Face Daily Papers research 2mo ago AtlasVLA: Persistent World-Ego State Modeling for Vision-Language-Action Models Abstract AtlasVLA improves embodied AI by replacing reactive control with proactive reasoning via persistent world-ego memory, enabling robust long-horizon manipulation from a single wrist camera. Generated by thinkingmachines/Inkling-Small While Vision-Language-Action (VLA)… 36 arXiv — Machine Learning research 2mo ago MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning arXiv:2608.11749v1 Announce Type: new Abstract: Multi-objective optimization (MOO) has demonstrated significant success in multi-task learning by mitigating task conflicts through gradient manipulation. However, most existing methods flatten model parameters into vectors and… 8 NVIDIA Developer Blog official-blog 2mo ago NVIDIA JetPack 7.2.1 Adds Agentic Video Skills and T3000 Emulation Video is a core data path across NVIDIA Jetson applications, from robotics and intelligent video analytics to industrial automation, healthcare, media... 5 Hugging Face Daily Papers research 2mo ago RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Abstract RynnValue is a scalable open-source value foundation model for robot manipulation that uses temporal distance instead of preferences or progress to learn generalizable value predictions and improve real-world policy success. Generated by thinkingmachines/Inkling-Small… 28 arXiv — Machine Learning research 2mo ago LUCID: Latent-Skill Unified Control via Imagined Dynamics for Long-Horizon Humanoid Loco-Manipulation arXiv:2608.07746v1 Announce Type: new Abstract: Long-horizon humanoid loco-manipulation requires composing versatile whole-body skills and reliable high-level decision making. Existing methods often coordinate pretrained skills with scripted planners, finite-state machines or… 30 arXiv — Machine Learning research 2mo ago V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control arXiv:2608.07870v1 Announce Type: new Abstract: Improving sample efficiency remains a core challenge in reinforcement learning (RL), especially in real-world settings like robotics, where data collection is costly. This challenge is pronounced in visual RL, where… 14 Hacker News — AI on Front Page community 2mo ago Show HN: Needle2: 14MB agentic LLM for phones, wearables, smart home and robots Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the… 17 r/LocalLLaMA community 2mo ago Needle 2: 14MB agentic LLM for phones, wearables, smart home and robots. Hey LocalLlaMa, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now… 15 Hugging Face Daily Papers research 2mo ago Capek 0.5: An Execution-Centric Vision-Language Model for Embodied Intelligence Abstract Vision-language models are increasingly serving as the reasoning core of embodied agents. Robot execution is inherently iterative: each action reshapes the scene and physical state, continually renewing what must be perceived, reasoned about, and verified. Meeting these… 25 r/LocalLLaMA community 2mo ago omlab/VLX-Seek-1.5-10B · Hugging Face VLX-Seek-1.5-10B VLX-Seek-1.5-10B is the open-source 10B model in the VLX-Seek 1.5 family, designed for fine-grained perception and visual grounding in embodied scenarios. It targets practical settings such as drones, robots, robotic dogs, surveillance cameras, inspection… 27 arXiv — Machine Learning research 2mo ago Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning arXiv:2608.06469v1 Announce Type: cross Abstract: Collaborative machine learning among financial institutions must be both group-fair and robust against deliberate adversarial manipulation. Existing fairness-aware aggregation methods remain formally vulnerable to fairness… 21 arXiv — NLP / Computation & Language research 2mo ago How Should I Pick a Foundation Model for My Robot? In Favor of a Community Evaluation Framework for Social Robots arXiv:2608.06898v1 Announce Type: cross Abstract: Researchers who seek to build social robot applications on foundation models are faced with a difficult question: how should we pick a model? Public leaderboards offer little guidance: the demands of real-time, embodied social… 14 r/MachineLearning community 2mo ago Non-Physical Intelligence Has A Ceiling [D] Reasoning alone cannot predict the chaotic physical world. Without a sensory and motor interface to reality, non-physical AI will not deliver the scientific and technological breakthroughs we expect.   submitted by   /u/dontkry4me [link]   [comments] 6 Hugging Face Daily Papers research 2mo ago Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Abstract Robot learning is splitting into two bets: policies that bake competence into frozen weights (vision-language-action, or VLA, models), and agents that write and refine their own executable skills as code. This survey organises the field around that axis of weights… 38 Hugging Face Daily Papers research 2mo ago DyPES-VLA: Learning Shared Dynamics Priors and Embodiment-Specific Control for Cross-Embodiment Manipulation Abstract Vision-Language-Action (VLA) models have become a powerful paradigm for robot manipulation, but training a single generalist policy for heterogeneous robot embodiments remains an open problem. Existing methods have two main limitations. First, they underuse dynamics… 38 arXiv — Machine Learning research 2mo ago Failing Gracefully: Mitigating Impact of Inevitable Robot Failures arXiv:2608.05313v1 Announce Type: cross Abstract: Service robots operate in household environments shared with humans, pets, and everyday objects, where they are highly susceptible to failures such as software crashes, hardware degradation, or unpredictable interactions. While… 25 arXiv — Machine Learning research 2mo ago Velocity- and Regime-Aware Detection of Intraday Options Market Manipulation, with Explainable Attribution arXiv:2608.05373v1 Announce Type: cross Abstract: Intraday market manipulation is hard to detect because its footprint is brief, buried in millions of quotes, and statistically similar to ordinary volatility. Detectors reach high recall only by flagging so many other days that… 6 Hugging Face Daily Papers research 2mo ago World-to-Wrist: Task-Conditioned Future Wrist Modeling for Fine-Grained Robot Manipulation Abstract Vision-language-action (VLA) models often treat main-view and wrist-view observations as parallel visual inputs, overlooking their distinct roles in robot manipulation. Fine-grained manipulation, however, benefits from anticipating how wrist-local interactions may… 38 Page 4 of 10 · 500 articles ← Newer Older →
