AI3 min read
Robotics Physical AI with OpenSmartRoute
OpenSmartRoute optimizes model selection for robotics physical AI applications, reducing latency and cost while ensuring reliable fallbacks for industrial...
From growth-engine
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AI3 min read
OpenSmartRoute optimizes model selection for robotics physical AI applications, reducing latency and cost while ensuring reliable fallbacks for industrial...
From growth-engine
AI1 min read
Agility Robotics selected Nyobolt for Digit 5, a battery upgrade that doubles run-to-charge time.
From Unite.AI
Photo: Yan Krukau
TIER IV and the Technical University of Munich launched a new research center for autonomous driving software. This hub unites three university groups to build safer, scalable self-driving systems using open-source tools.
From Unite.AI
AI11 min read
Day 2 of TechCrunch Disrupt 2026 features sessions on robotics, agent security, and the shift from chatbots to physical AI systems. Speakers discuss funding, hardware, and the new rules for building AI in the enterprise.
From TechCrunch AI
AI16 min read
Taisei, TIER IV, and Taisei Rotec were chosen for an eight-day autonomous driving test on Japan's Autoflow Road. The demonstration uses three vehicles to verify multi-vehicle coordination in a dedicated logistics space.
From Unite.AI
AI10 min read
XPENG officially named its robotaxi service XPENG YOYO and opened public registration in China. The company claims this is the world's first fully in-house developed robotaxi ready for mass production.
From Unite.AI
AI9 min read
TechCrunch Disrupt 2026 hosts breakout sessions on AI agents, physical AI, and fundraising at Moscone West in San Francisco. The event runs October 13-15 with limited room capacity for expert Q&A.
From TechCrunch AI
AI1 min read
Learn how NVIDIA IsaacTeleop turns XR hand tracking and motion controller input into robot commands using a pure Python retargeting engine and NumPy. The post Inside NVIDIA’s IsaacTeleop: From Hand and Controller Tracking to Robot Action...
From MarkTechPost
AI1 min read
Nebius and NVIDIA are running the 2026 Physical AI Awards for startups with products in the field. Five category winners each get $150,000 in compute credits, joint promotion, executive mentorship, and seats at an executive dinner. Appli...
From MarkTechPost
Research1 min read
Robots are getting smarter, but how can their hardware match that growth? New Microsoft Research findings show that moving AI inference beyond the robot can improve task success, boost efficiency, and support more advanced physical AI wo...
From Microsoft Research
AI1 min read
UP.Labs, now doing business under the name Vantora, is building startups for industrial corporations.
From TechCrunch AI
LLMs1 min read
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...
From NVIDIA technical blog
AI2 min read
Nvidia Inception's Les Karpas discusses why robotics lacks the breakthrough of ChatGPT. He explains data gaps and upcoming sessions on the Real World AI Stage.
From TechCrunch AI
Research1 min read
arXiv:2609.13436v1 Announce Type: new Abstract: Large Language Model (LLM) agents offer a promising path toward autonomously managing long-term physical tasks without human intervention. However, physical tasks require agents to continuo...
From arXiv cs.AI
AI1 min read
Reward AI has released OM-1, a general-purpose manipulation policy trained exclusively on human demonstrations using a wearable glove. The system’s unique approach avoids teleoperation and robot data, offering a new path for robot control.
From MarkTechPost
Research1 min read
Research identified seven distinct sources contributing to Physical AI capabilities: Recorded-Experience, Predictive-Modeling, Evaluative-Interaction, Surrogate-Environment, Mechanism-Grounded, Embodied-Coupling, and Evolution-Driven. This framework allows analysis of how capabilities are formed, supporting applications like explanation and transfer.
From arXiv cs.AI
Agents1 min read
A continuous pipeline for building physical AI systems is demonstrated using NVIDIA Cosmos 3 on SageMaker HyperPod, focusing on synthetic data, training, and evaluation with GPU goodput as a key metric.
From AWS machine learning blog
LLMs1 min read
A perception stack is shaped by the vehicle that carries it. Move the same software to a new carline—for example, from an SUV to a sedan or another vehicle...
From NVIDIA technical blog
LLMs1 min read
This article details training a cross-embodiment robot navigation policy using AI agents. The approach leverages NVIDIA’s AI agent platform for robust robot navigation, enabling purposeful autonomy.
From NVIDIA technical blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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