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 ...
Morning Overview on MSN
New AI model helps robots learn unseen tasks with less training
Teaching a robot arm to pick up a new object used to require thousands of practice runs. Google DeepMind says it has cut that ...
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 ...
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, ...
Interesting Engineering on MSN
New robot tech lets machines peel, slice and handle odd-shaped objects easily
Researchers have unveiled a new method that lets robots handle irregular, curved objects with ...
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 ...
A paddle-wielding robot is so adept at playing table tennis that it is posing a tough challenge to elite human players and ...
A robot has become so good at playing table tennis that at times it defeated elite human players, in what has been hailed as ...
X-1 robotic system uses humanoids and drones, combining land and air abilities, to tackle rescue missions too dangerous for ...
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