robot policy
30 articles about robot policy in AI news
One Policy to Rule Them All: AI Robot Masters Unseen Tools with Zero-Shot Generalization
Researchers have developed a single robot policy capable of manipulating diverse, never-before-seen tools using sim-to-real reinforcement learning. The system achieves zero-shot generalization across 24 tasks, 12 objects, and 6 tool categories without object-specific training.
InternVLA-A1.5 Unifies Vision, Foresight, Action — SOTA on All Six Sim Benchmarks
InternVLA-A1.5 unifies vision-language understanding, latent foresight, and action into one robot policy, achieving SOTA on all six simulation benchmarks.
GigaWorld-Policy-0.5 Hits 85ms on RTX 4090 for Robot Control
GigaWorld-Policy-0.5 runs robot control at 85ms on an RTX 4090, using a Mixture-of-Transformers architecture for real-time local deployment.
Alibaba's Qwen-RobotNav Unifies Robot Navigation in One 2B-8B Model
Alibaba's Qwen-RobotNav unifies VLN, ObjectNav, tracking, and autonomous driving in a 2B-8B model, deploying zero-shot to quadruped robots via a configurable observation protocol.
DART: One-Shot Robot Adaptation via Weight Space Arithmetic
DART from Seoul National University adapts robot policies with one demonstration using weight space arithmetic, achieving 73% success on unseen domain shifts.
ByteDance Seed Turns Cheap Human Videos Into Robot Skills
ByteDance Seed replaces noisy 6DoF hand poses with relative wrist translation, creating a shared action space for humans and bi-manual robots that scales with cheap data and outperforms full-pose baselines.
Nvidia, Unitree, Sharpa unveil H2+ humanoid robot reference design
Nvidia, Unitree, and Sharpa released H2+, a humanoid robot reference design, at Computex 2026 to standardize physical AI development workflows.
AllenAI's MolmoAct2: 720-Hour Bimanual Dataset, Beats GPT-5 on Robotics
AllenAI released MolmoAct2, an open robotics model with a 720-hour bimanual dataset, beating GPT-5 and Gemini Robotics on success rate (89.4% vs 82.1%) with 40% lower latency.
HONOR's Lightning Robot Runs 21km in 50:26, Beating Human World Record
At Beijing's 2026 humanoid robot half-marathon, HONOR's 'Lightning' robot finished the 21 km course in 50 minutes and 26 seconds. This time surpasses the current human men's world record of 57:20, marking a massive leap from last year's winning robot time of over 2 hours 40 minutes.
BrainCo Revo 3 Dexterous Hand Targets Real-World Robot Deployment Gap
BrainCo announced the Revo 3 dexterous robotic hand, engineered to bridge the gap between lab demos and real-world deployment. It features 21 active degrees of freedom, a 5kg per-finger load capacity, and one-click sim-to-real transfer.
Manycore Tech Pivots from Real Estate to AI Robotics, Hits $1B Valuation
Manycore Tech Inc., a Chinese software company previously focused on real estate, has raised $150 million to pivot into AI and robotics, achieving a $1 billion valuation. The move is led by an Nvidia alumnus and capitalizes on China's strategic push into automation.
Beijing Humanoid Robot Half Marathon Tests 40% Autonomous Teams
A night-time half-marathon test for humanoid robots in Beijing revealed approximately 40% of participating teams were running fully autonomous systems, a key benchmark for real-world robotic mobility.
OpenAI Proposes 4-Day Week, Robot Tax Amid Rising Anti-AI Violence
Following violent attacks on CEO Sam Altman, OpenAI has published a policy paper proposing a new social contract, including a four-day workweek and AI dividends, to address rising public anxiety over AI's societal impact.
AGIBOT Launches GE-Sim 2.0: A Foundation Model for Robot Simulation
AGIBOT has launched GE-Sim 2.0, a foundation model for robot simulation. It allows AI agents to generate and reason within photorealistic simulated environments for planning and training.
India's Human Motion Farms Train Humanoid Robots with First-Person Hand Data
Labs in India are capturing detailed human motion data—focusing on grip, force, and error recovery—to train AI models for humanoid robots. This addresses the critical bottleneck of acquiring physical intelligence data for robotics.
NVIDIA Advances AI Robotics with Simulation-First Training, Isaac & Jetson
NVIDIA showcased AI robotics advances using foundation models and synthetic environments for training, enabling scalable deployment in real-world sectors like agriculture and solar. Key platforms are the Isaac simulator and Jetson edge AI hardware.
MindOn's Unitree G1 Robot Performs Household Tasks Fully Autonomously
AI startup MindOn released a demo of a Unitree G1 humanoid robot performing household tasks like picking up scattered items fully autonomously. The demo highlights rapid progress in applying large models to real-world robot control.
Humanoid Robot Deployed for Traffic Control in Shenzhen, China
A humanoid robot equipped with cameras and AI has been deployed to direct traffic at a busy intersection in Shenzhen, China. This represents a real-world test of embodied AI for public infrastructure management.
Stanford's EgoNav Trains Robot Navigation on 5 Hours of Human Video, Enables Zero-Shot Control of Unitree G1
Stanford's EgoNav system uses a 5-hour egocentric video walk of campus to train a diffusion model that enables zero-shot navigation for a Unitree G1 humanoid robot, eliminating the need for robot-specific training data.
PhAIL: Open Benchmark for Robot AI on Real Hardware Shows Best Model at 5% of Human Throughput
Researchers have launched PhAIL (phail.ai), an open benchmark for evaluating robot AI systems on real hardware using the DROID platform, with the best-performing model achieving only 5% of human throughput and requiring intervention every 4 minutes.
China's First Fully Automated Humanoid Robot Factory Goes Live in Foshan, Targets 10,000+ Units Annually
China's first fully automated humanoid robot production line has launched in Foshan, capable of building one complete robot every ~30 minutes. The facility aims for over 10,000 units per year, with five more sites planned.
New RL-Guided Planning Framework Boosts Warehouse Robot Throughput
Researchers propose RL-RH-PP, a hybrid AI framework combining reinforcement learning with classical search for lifelong multi-agent path finding. It dynamically assigns robot priorities to reduce congestion, achieving higher throughput in simulations and generalizing across layouts.
AheadFrom Unveils 'Scary Human' Robotic Face with Advanced AI Animation
AheadFrom has revealed a new robotic face with AI-driven animation that users describe as 'scary human.' The system uses real-time AI to generate facial expressions and lip-syncing.
Tsinghua & Peking University Researchers Train Humanoid Robot to Play Tennis Using Scattered, Imperfect Human Motion Clips
A team from Tsinghua, Peking University, and other labs taught a humanoid robot to play tennis using short, imperfect human swing clips instead of perfect match data. The system uses a physics simulator to correct errors, lowering the barrier for teaching robots complex physical tasks.
Public Panic in Macau as Humanoid Robot Walk Sparks Police Intervention
A Unitree G1 humanoid robot being walked in Macau caused public hysteria when a woman screamed in panic, leading to crowd chaos and police seizing the robot to restore order. This incident highlights growing social tensions around humanoid robots in public spaces.
Hugging Face weekly papers: Monotonic inference policy overtakes training optimization
Hugging Face's top papers July 6-12 include a paper arguing monotonic inference policies are the true LLM RL objective, and Vidu S1 for real-time interactive video generation.
Sam Altman Advocates for 32-Hour Work Week in AI-Driven Policy Paper
Sam Altman has proposed a 4-day, 32-hour work week as part of a new social contract, reflecting a growing trend among executives to advocate for reduced working hours in the age of AI.
Nvidia Unveils Physical AI Agent Skills, 32B VLA Model at CVPR
Nvidia launched physical AI agent skills and a 32B VLA model at CVPR to automate AV and robotics workflows, addressing the fragmented tooling bottleneck.
Indian Factory Workers Wear Head Cams to Gather Embodied AI Training Data
To overcome the high cost of robot fleet data collection, companies are deploying head cameras on human factory workers. This first-person video captures the sequencing, posture, and micro-adjustments of real work, serving as a proxy for expensive robotic action data.
Waymo Data Claims Autonomous Tech Prevents Injuries, Deaths
Waymo has released data indicating its autonomous vehicle technology is preventing injuries and deaths on public roads. If verified, this represents a critical, evidence-based argument for the safety of robotaxis.