drones
29 articles about drones in AI news
OpenClaw Enables Natural Language Control for Drones and Humanoid Robots via Open-Source Framework
OpenClaw, an open-source framework, now allows developers to control drones and humanoid robots using natural language commands. The system integrates with physical sensors like cameras and lidar to build multi-agent systems.
Skydio Launches Robotic Takeoff and Landing System: Robotic Arm Automates Drone Launch and Catch
Skydio has released a robotic arm system that can automatically launch and catch its drones, turning vehicles into mobile bases for rapid, hands-free deployment and recovery.
Microscopic Motor Rotors Enable Untethered Micro-Robotics, Smaller Than a Fingerprint
Researchers have developed a microscopic motor rotor smaller than a fingerprint, using 4 magnets and 4 coils to eliminate power leashes. This enables autonomous flight and diving for micro-drones.
The Autonomous Army Dilemma: Anthropic CEO Warns of 10 Million Drone Forces Without Human Morality
Anthropic CEO Dario Amodei raises urgent concerns about autonomous military systems, questioning how future armies of millions of drones could operate without human soldiers' moral agency and ability to refuse illegal orders.
Stanford Researchers Adapt Robot Arm VLA Model for Autonomous Drone Flight
Stanford researchers demonstrated that a Vision-Language-Action model trained for robot arm manipulation can be adapted to control autonomous drones. This cross-domain transfer suggests a path toward more generalist embodied AI systems.
CARLA-Air Unifies CARLA and AirSim Simulators in Single Unreal Engine Process for Embodied AI
CARLA-Air merges the CARLA autonomous driving and AirSim drone simulators into one Unreal Engine process, enabling zero-latency air-ground sensor synchronization with 18 sensor types for embodied AI training.
Japanese Team Develops Cardboard Drone Flying at 120 km/h, Assembled in 5 Minutes for Swarm Applications
Researchers in Japan have demonstrated a functional drone constructed entirely from cardboard, capable of 120 km/h flight and 5-minute assembly. The design enables mass production in standard cardboard factories, targeting low-cost, disposable swarm operations.
Ukrainian TWW127 Robot Holds Infantry Position for 45 Days via Remote Unmanned Operation
A Ukrainian unmanned ground vehicle, the TWW127, reportedly held a forward combat position autonomously for 45 days, providing persistent overwatch and suppressive fire. This demonstrates a significant leap in endurance and reliability for remote, unmanned systems in active combat.
China's 'Robot Wolf Pack' Battlefield System Revealed: 15 km/h Speed, 25 kg Payload, Modular Weapons
A new Chinese robotic combat system, dubbed the 'Robot Wolf Pack,' has been revealed via social media. It features a 15 km/h speed, 12 degrees of freedom, 25 kg payload capacity, and is designed for modular weapons and obstacle clearing.
AgentComm-Bench Exposes Catastrophic Failure Modes in Cooperative Embodied AI Under Real-World Network Conditions
Researchers introduce AgentComm-Bench, a benchmark that stress-tests multi-agent embodied AI systems under six real-world network impairments. It reveals performance drops of over 96% in navigation and 85% in perception F1, highlighting a critical gap between lab evaluations and deployable systems.
China Deploys Robotic Electricians for High-Voltage Grid Maintenance, Replacing Dangerous Manual Labor
China is scaling deployment of robotic systems that install and inspect live high-voltage power lines at altitude. The automation removes humans from hazardous electrical grid maintenance work.
Amazon Acquires Legged-Wheeled Robot Startup Rivr to Automate Last-Mile Delivery
Amazon has acquired Rivr, a Zurich-based startup building four-legged wheeled robots for navigating stairs and uneven terrain. The acquisition, following Amazon's participation in Rivr's $110M funding round, aims to automate last-mile delivery.
Beijing Military Intelligent Technology Demonstrates Underwater 'Fish Drone' Prototype
A brief video shows a biomimetic underwater drone resembling a fish, attributed to Beijing Military Intelligent Technology. The prototype's technical specifications and operational status are unconfirmed.
US Army Awards Anduril Up to $20B Contract to Bundle 120 Autonomous Systems Purchases
The US Army signed a contract with defense technology company Anduril worth up to $20 billion, consolidating 120 separate purchasing steps for autonomous software and hardware into a single system. The deal has a five-year base period with a five-year extension option.
Palantir's Maven Smart System: The AI-Powered Battlefield Dashboard Revolutionizing Military Operations
Palantir's Maven Smart System represents a paradigm shift in military intelligence, fusing drone, satellite, radar, and signals intelligence into a single AI-powered dashboard that automates target detection and kill-chain management.
Cyborg Cockroaches: NATO's AI-Powered Insect Scouts Redefine Surveillance
NATO is developing cyborg cockroaches equipped with AI and sensors for military reconnaissance. Electric shocks steer their movements while swarm algorithms coordinate groups through debris. The German military has already deployed these bio-hybrid systems.
Vision AI Trends 2026: Manufacturing, Warehouse Automation, and Luxury Authentication Enter Visual Data Era
A 2026 trends report highlights Vision AI's expansion into manufacturing quality inspection, warehouse automation, and luxury brand authentication, marking a shift toward 3D visual data systems. This reflects the maturation of computer vision beyond basic recognition into operational and trust applications.
Qualcomm's Arduino Ventuno Q: A Powerhouse Single-Board Computer for the Next Wave of Physical AI
Qualcomm and Arduino have launched the Ventuno Q, a high-performance single-board computer designed specifically for robotics and physical AI applications. Powered by the Dragonwing IQ8 processor with a dedicated NPU and paired with a low-latency microcontroller, it enables complex, offline AI tasks like object tracking and gesture recognition for systems that interact with the real world.
Silicon Valley AI Startup Targets Japan's Industrial Robotics Crown
Former Google AI researchers have launched Integral AI in Tokyo, aiming to transform Japan's massive industrial robotics sector with AI models that teach robots through observation and language prompts. The startup is already in talks with Toyota, Sony, and other manufacturing giants.
The Great GPU Scramble: How Hardware Shortages Are Defining the AI Arms Race
Oracle founder Larry Ellison identifies GPU acquisition as the primary bottleneck in AI development, with companies racing to secure limited hardware for breakthroughs in medicine, video generation, and autonomous systems.
ART Framework Automates Reward Engineering, Revolutionizing AI Agent Training
The new ART framework combines GRPO with RULER to automatically generate reward functions, eliminating the need for manual reward engineering in AI agent training. This open-source solution could dramatically accelerate development of capable AI agents across domains.
Bridging the Gap: New RL Method Delivers Stability Guarantees with Finite Data
Researchers have developed a novel reinforcement learning approach that provides probabilistic stability guarantees using only finite data samples. The method leverages Lyapunov stability theory to ensure control systems remain stable during learning, addressing a critical challenge in deploying RL for real-world applications.
The AI Arms Race: How Geopolitical Tensions Are Shaping the Battle for Superintelligence
The global competition for AI supremacy has become a central front in geopolitical conflicts between the US, China, and other powers. This race for superintelligence is reshaping alliances, military strategies, and economic policies worldwide.
YOLO26 Eliminates NMS Bottleneck, Revolutionizing Real-Time Object Detection
YOLO26 introduces a groundbreaking single-pass architecture that eliminates the need for Non-Maximum Suppression, dramatically accelerating inference speeds while maintaining high detection accuracy for up to 300 objects per image.
Google DeepMind's Breakthrough: LLMs Now Designing Their Own Multi-Agent Learning Algorithms
Google DeepMind researchers have demonstrated that large language models can autonomously discover novel multi-agent learning algorithms, potentially revolutionizing how we approach complex AI coordination problems. This represents a significant shift toward AI systems that can design their own learning strategies.
VLANeXt: The Missing Recipe Book for Vision-Language-Action AI
Researchers have developed VLANeXt, a unified framework that distills 12 key findings into practical recipes for building effective Vision-Language-Action models. This breakthrough brings much-needed structure to the fragmented VLA landscape and outperforms previous state-of-the-art methods on major benchmarks.
Radar Meets AI: How RF Signals Are Revolutionizing 3D Scene Reconstruction
Researchers have developed a multimodal approach combining radio-frequency sensing with Gaussian Splatting to create robust 3D scene rendering that works in challenging conditions where vision alone fails. This breakthrough enables high-fidelity reconstruction in adverse weather, low light, and through occlusions.
WeightCaster: How Sequence Modeling in Weight Space Could Solve AI's Extrapolation Problem
Researchers propose WeightCaster, a novel framework that treats out-of-support generalization as a sequence modeling problem in neural network weight space. This approach enables AI models to make plausible, interpretable predictions beyond their training distribution without catastrophic failure.
The Coordination Crisis: Why LLMs Fail at Simultaneous Decision-Making
New research reveals a critical flaw in multi-agent LLM systems: while they excel in sequential tasks, they fail catastrophically when decisions must be made simultaneously, with deadlock rates exceeding 95%. This coordination failure persists even with communication enabled, challenging assumptions about emergent cooperation.