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, ...

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

[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 ...

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 ...

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 ...

Robots are increasingly deployed in environments that are unsafe or inaccessible for humans, from collapsed buildings and underground tunnels to industrial sites and disaster zones. In many of these ...

Yann LeCun challenges humanoid robots built on precomputed demos, arguing for explicit world models so teams build adaptable ...

Boasting a sophisticated design tailored for versatile mobility, Cassie demonstrates remarkable agility as it effortlessly navigates quarter-mile runs and performs impressive long jumps without ...