This paper is about how robots (in particular, household robots like mobile manipulators) can autonomously acquire skills via ...

Fig. 1(a) illustrates a typical robotic manipulation system. It features a robotic arm equipped with sensors like cameras and end-effectors such as grippers, enabling it to manipulate a wide range of ...

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, ...

A new methodology is helping robots to move its arms autonomously. Researchers combined a ...

Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate ...

[A version of this piece first appeared in TechCrunch’s robotics newsletter, Actuator. Subscribe here.] Earlier this month, Google’s DeepMind team debuted Open X-Embodiment, a database of robotics ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

A robot, trained for the first time by watching videos of seasoned surgeons, executed the same surgical procedures as skillfully as the human doctors. The successful use of imitation learning to train ...

In context: Teaching robots new skills has traditionally been slow and painstaking, requiring hours of step-by-step demonstrations for even the simplest tasks. If a robot encountered something ...