Proprietary systems have traditionally dominated the control of three and four-axis wafer handling robots for in-vacuum and in-air wafer applications. As a result, these systems can be limited in ...

Microsoft launched Rho-alpha in late January 2026, a robot model that uses vision, language, and touch sensors for two-armed tasks.

Robots are rapidly moving beyond pre-programmed automation into a new era of adaptive, learning-driven autonomy. At the center of this ...

Human–robot interaction (HRI) and gesture-based control systems represent a rapidly evolving research field that seeks to bridge the gap between human intuition and robotic precision. This area ...

Humanoid and bipedal robot control systems represent a dynamic confluence of robotics, control theory and artificial intelligence. These systems are designed to enable robots to navigate complex ...

Robots are becoming smarter and more common, but their ability to handle objects with human-like precision remains limited.

Autonomous robot navigation is an area that has undergone much research and development, leading to a wide range of robotic platforms. These range from mass-produced robotic vacuums, to mid-sized ...

Robots find tricky tasks hard and need a lot of training. This system helps them plan ahead and act smarter using much less data.

Built to measure the movement, location or displacement of an object along a linear or rotational path, position sensing in humanoid robots is needed to detect movement and convert it into signals ...

Electric motors are devices that transform electrical energy into mechanical energy, which may be used to move articulated systems. The electric motor must be capable of producing substantial torque ...

One thing robots are pretty good at doing is, well, one thing over and over again. Confront them with objects of different shapes and sizes, and with different actions to perform and that's another ...