A look at how training data, human oversight, and real-world simulation define the next generation of reliable robotics.

Open source language models are crucial to AI innovation. Can open robotics models do the same for physical machines?

One of the biggest hurdles in developing humanoid robots is the sheer amount of training data required. Teaching machines to act like humans demands massive video datasets. Collecting that data is ...

Trainee Lightning Wakute operates a robotic welding arm while Eileen DeCora watches at Nebraska Innovation Studio. (Ani Schutz/Silicon Prairie News) A new industry-certified training program supported ...

ORONO, Maine and PLANO, Texas, Aug. 19, 2025 /PRNewswire/ -- Doosan Robotics, a global leader in robotics innovation, announced the opening of an Authorized Training Center at the University of ...

Have you ever wondered what it would take to train a robot to walk, grasp objects, or navigate a cluttered room with the same ease as a human? For many, the idea of teaching robots these complex tasks ...

The curriculum reflects efforts in China to increase robotics training data, while deepening the industry’s talent pool.

SAN JOSE, Calif., Sept. 23, 2025 (GLOBE NEWSWIRE) -- zSpace, Inc. (NASDAQ: ZSPC), a leader in immersive augmented reality (AR) solutions for education, today announced the release of three new ...

Nvidia unveiled a new platform at CES called Cosmos. It’s a world foundation model (WFM) development platform designed to advance and accelerate Physical AI for robots and self-driving vehicles (which ...

Over the last 20 years, Amazon has reshaped how Americans shop and work. The company's fulfillment network stretches across ...