Alibaba unveiled the Qwen-Robot Suite, a trio of AI models designed to handle robotic actions through a unified software ...

This paper proposes an autonomous navigation method for a leader robot based on the panel method. Multi-robot formation control is achieved using a leader–follower approach and is found to be ...

A research team has taken inspiration from the brains of insects and animals for more energy-efficient robotic navigation. A QUT research team has taken inspiration from the brains of insects and ...

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 ...

Ground-based robots are typically used for missions where direct human involvement is too expensive, too dangerous, or just ineffective. Often, the robots must be able to operate autonomously, using ...

Insect-computer hybrid robots are receiving increasing attention as a potential alternative to small artificial robots due to their superior locomotion capabilities and low manufacturing costs.

Michigan Technological University's Robotics and Remote Sensing Lab brought home an unprecedented win in the international Benchmark Autonomous Robot Navigation Challenge. Their victory could set a ...

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 team ...

ANTHBOT HoloSense, fusion navigation technology, lets its M5 Pro and M9 Pro robot lawn mowers work without any signal ...

A QUT research team has taken inspiration from the brains of insects and animals for more energy-efficient robotic navigation. “SNNs are artificial neural networks that mimic how biological brains ...