edge compute

Avride uses vision-language models, or VLMs, to improve the environmental awareness of its delivery robots.

Before Windows, only engineers and computer scientists could work with computers. Edge AI is causing a similar accessibility shift for robotics.

NVIDIA has released open-source physical AI agent skills and tools, as well as an Isaac GR00T humanoid reference robot.

The vice president of physical AI at Hailo explains why the next wave of AI will run locally on specialized machines designed for real-world tasks.

Madhu Gaganam, founder and CEO of Cogniedge.ai, said the industry’s shift toward true cobots demands more than safer cages or slower speeds.

Aetina is showing its edge computing platforms and edge servers at GTC 2026, combining high-precision 3D perception with enterprise AI agents.

Draganfly will integrate Palladyne AI’s Pilot edge-based software to give drones the ability to collaborate with an operator in the loop.

Odense Robotics and the Danish Technological Institute share the four trends they think will dominate robotics in 2025.

Contextual AI 2.0, which runs vision language models on Ambrarella N1, helps robots understand their environments, said Ottonomy.

In addition to increasing first responders’ safety, drone support resource optimization can help to save the lives of those involved in incidents, Nokia said.

Code Metal has obtained $16.5M from J2 Ventures and Shield Capital to accelerate AI development for edge devices such as robots and drones.

OmniOn Power says that mobile robots, AI, and self-driving vehicles need more power and networking innovation.

AMD said the latest addition to its portfolio of FPGAs and adaptive SoCs delivers cost and power-efficient performance. 

NVIDIA has over one million developers now deploying on Jetson with John Deere, Medtronic, Hyundai Robotics, Komatsu, Meituan among early adopters