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

A multi-institutional team led by Chongjie Zhang developed an intention-aligned imitation learning method that lets ...

Transforming Robot Training with Wearable Technology In today’s fast-evolving world of artificial intelligence and robotics, intuitive human–machine interfacing stands at ...

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

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

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, ...

Roboticists have struggled to get humanoid robots to effectively replicate athletic sports skills, such as those needed for tennis. These sports require highly dynamic motion, quick reactions, and ...

The latest updates show Optimus doing more complex dance moves in real-time, which means it’s getting much better at moving ...

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