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

MIT's DAAAM research gives robots a memory of what it seen, letting it build a detailed map of a space with descriptions that ...

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 ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

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 ...

Alibaba has unveiled Qwen-Robot Suite, a new embodied AI platform combining navigation, manipulation and world models to ...

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 ...

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 ...

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 ...

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 ...