Researchers have introduced an online model-based reinforcement learning algorithm that trains robots directly from real-world interactions, bypassing extensive simulation. The approach builds a ...

Teaching a robot arm to pick up a new object used to require thousands of practice runs. Google DeepMind says it has cut that ...

A new kinetic intelligence framework allows robots to rapidly learn complex tasks by watching other robots without any human ...

Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...

Researchers have unveiled a new method that lets robots handle irregular, curved objects with ...

2024 is going to be a huge year for the cross-section of generative AI/large foundational models and robotics. There’s a lot of excitement swirling around the potential for various applications, ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

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X-1 robotic system uses humanoids and drones, combining land and air abilities, to tackle rescue missions too dangerous for ...