For robots to be successfully introduced in a wider range of real-world settings, they should be able to safely and reliably navigate rapidly changing environments. While roboticists and computer ...

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 ...

Application of Multi-Modal Fusion in Robot Navigation The core of Chuangzhi Technology's patent lies in the application of multi-modal fusion technology for robot obstacle avoidance and navigation.

The Tri-Fusion positioning system in Mammotion's Luba Mini Vision AWD robot lawn mower promises location accuracy to within ...

SPECIAL ISSUE NO. 103. Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering (SUMMER 2020), pp. 864-867 (4 pages) Published By: Coastal Education & Research Foundation, ...

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.

Traditional robot navigation methods either require detailed maps or assume accurate localization is always available—assumptions that break down in indoor or unfamiliar environments.