Researchers created a deep reinforcement learning model that lets robots adapt to visual changes, maintain localization, and ...

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.

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 ...

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

Robots are part of an exciting new frontier in tech, but here's the challenge: Robots rely on arrays of sensors, external signals like GPS and Wi-Fi, and customized software to navigate their ...

Visual servoing for mobile robots encompasses the integration of real‐time visual feedback into the control loop for autonomous navigation and manipulation. This approach leverages data from ...

Ant insights lead to robot navigation breakthrough TU Delft researchers create an insect-inspired autonomous navigation strategy for tiny, lightweight robots. Peer-Reviewed Publication Delft ...

Zhongtongfu Information Technology Co., Ltd. recently obtained a patent titled "Robot Vision Line Inspection Navigation Method and Visual Line Inspection Robot," marking an important step in the field ...

Generative AI has already shown a lot of promise in robots. Applications include natural language interactions, robot learning, no-code programming and even design. Google’s DeepMind Robotics ...