Build the future of grasping.

Robotic grippers are at the frontier of robotics: to act in the real world, robots must grasp and manipulate objects of any shape, size, or material, at speed. While machine learning has transformed control, it is the physical gripper that sets the limits of what's possible. It is at the contact interface that everything happens. This project tackles that interface head-on. The project will deepen our understanding of how grippers meet objects and use that knowledge to design contacts that tune friction and adhesion on demand. High-speed, high-resolution tactile sensing will feed the controller with real-time data on pressure, slip, and object properties, unlocking dexterity beyond human capability. Funded by spin-off company Omnigrasp and run in close collaboration with their team, the project blends fundamental research with industry-driven innovation, leveraging their breakthrough electroactive gripper technology.