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 ...

A paddle-wielding robot is so adept at playing table tennis that it is posing a tough challenge to elite human players and ...

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 ...

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