An AI pipeline developed by CSAIL researchers enables unique hydrodynamic designs for bodyboard-sized vehicles that glide underwater and could help scientists gather marine data.

Developed to analyze new semiconductors, the system could streamline the development of more powerful solar panels.

By leveraging reflections from wireless signals like Wi-Fi, the system could allow robots to find and manipulate items that are blocked from view.

MIT CSAIL researchers combined GenAI and a physics simulation engine to refine robot designs. The result: a machine that out-jumped a robot designed by humans.

Presentations targeted high-impact intersections of AI and other areas, such as health care, business, and education.

Researchers have developed a soft robotic arm capable of performing complex tasks such as navigating around an obstacle or hitting a ball.

The system automatically learns to adapt to unknown disturbances such as gusting winds.

Researchers developed an algorithm that lets a robot “think ahead” and consider thousands of potential motion plans simultaneously.

Even the best batteries fall far short of animal metabolism for energy storage. Fueling robots with ‘food’ could narrow the gap.