Robots are increasingly being used in manufacturing, agriculture and health care. But programming a team of robots to carry ...

Reinforcement Learning (RL) has rapidly emerged as a powerful approach for enabling robots to acquire adaptive, data-driven behaviors in real-world ...

Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a ...

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 ...

Researchers in China have developed a new system that significantly improves how humanoid robots ...

Roboticists have struggled to get humanoid robots to effectively replicate athletic sports skills, such as those needed for ...

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Grasping and transporting objects is one of the most critical tasks for robots in a variety of fields. This task requires ...