Opportunities in Localization of Core Components In the process of accelerating the implementation of the humanoid robot industry, the localization of core components is facing unprecedented ...

In today's technological wave, humanoid robots are no longer a fantasy from science fiction movies; they are rapidly ...

Researchers created a deep reinforcement learning model that lets robots adapt to visual changes, maintain localization, and navigate complex indoor spaces more safely and efficiently.

Editor's NoteAt school sports festivals in Shenzhen, China, it is not unusual to see parents bringing robots. In China, ...

A new deep learning model from Cardiff University helps robots choose safer, more reliable paths—marking a shift from acrobatics to real-world navigation.

Geekplus, a known name in warehouse robotics with customers like Walmart, Adidas and UPS, is betting it can dominate the market as more companies use robots for industrial tasks.

In the medicine of the future, tiny robots will navigate independently through tissue and medical instruments will indicate their position inside the body during surgery. Both require doctors to ...

Researchers from Cardiff University, Hohai University, and Spirent Communications developed a deep reinforcement learning ...

Navigating without a map is a difficult task for robots, especially when they can't reliably determine where they are. A new AI-powered solution helps robots overcome this challenge by training them ...