News highlights: TI and NVIDIA are collaborating to accelerate the path from simulation to the safe deployment of humanoid robots in the real world. As part of this collaboration, TI integrated its mmWave radar technology with NVIDIA Jetson Thor and NVIDIA Holoscan to enable low-latency 3D perception and safety awareness for physical AI applications. TI […]
TI Accelerates the Next Generation of Physical AI with NVIDIA Read More +
Logistics robots and cleaning robots both benefit from high market demand and relatively low technical barriers, compared to kitchen and restaurant robots or underwater robots. Source: Service Robots 2026-2036: Technologies, Players and Markets This blog post was originally published at IDTechEx’s website. It is reprinted here with the permission of IDTechEx. The service robotics industry has grown
Which Service Robots Will Dominate the Market in the Next 10 Years? Read More +
This market analysis was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. The world’s largest consumer electronics conference demonstrated the technical synergies between automotive and robotics. At CES 2026, there was a clear cross-sector message: Physical AI is the common language across the automotive, robotaxi
CES 2026: Physical AI moves from concept to system architecture Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advancements in OpenUSD and NVIDIA Omniverse. New NVIDIA safety
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Key Takeaways Why multi-sensor timing drift weakens edge AI perception How GNSS-disciplined clocks align cameras, LiDAR, radar, and IMUs Role of Orin NX as a central timing authority for sensor fusion Operational gains from unified time-stamping
This blog post was originally published at Peridio’s website. It is reprinted here with the permission of Peridio. The gap between robotics prototypes and production deployments has always been an infrastructure problem disguised as a hardware problem. Teams build incredible computer vision models and robotic control systems on NVIDIA Jetson developer kits, only to hit
On February 25, 2026 from 8:30 am to 5:30 pm ET, Advantech, Qualcomm, Arrow, in partnership with D3 Embedded, Edge Impulse, and the Pittsburgh Robotics Network will present Robotics Builders Forum, an in-person conference for engineers and product teams. Qualcomm and D3 Embedded are members of the Edge AI and Vision Alliance, while Edge Impulse
Robotics Builders Forum offers Hardware, Know-How and Networking to Developers Read More +
This article was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. Training robots in the physical world is slow, expensive, and difficult to scale. Roboticists developing AI policies depend on high quality data—especially for complex tasks like picking up flexible objects or navigating cluttered environments. These tasks rely
Faster Sensor Simulation for Robotics Training with Machine Learning Surrogates Read More +
Las Vegas, NV, Jan 15 — NAMUGA announced that it successfully concluded the unveiling of its new product, Stella-2, at CES 2026, the world’s largest IT and consumer electronics exhibition, held in Las Vegas, USA, from January 6 to 9. The newly unveiled product, Stella-2, is a solid-state LiDAR jointly developed by NAMUGA and Lumotive. In
This post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Expanding the open model universe, NVIDIA today released new open models, data and tools to advance AI across every industry. These models — spanning the NVIDIA Nemotron family for agentic AI, the NVIDIA Cosmos platform for physical AI, the new NVIDIA Alpamayo family for autonomous vehicle
NVIDIA Unveils New Open Models, Data and Tools to Advance AI Across Every Industry Read More +
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