Researchers created a system that lets robots effectively use grasped tools with the correct amount of force.

Engineers 3D print materials with networks of sensors directly incorporated.

Neuroscience professor and Science Hub investigator Ted Adelson explains how simulating the sense of touch with a camera can make robots smarter.

A new system lets robots manipulate soft, deformable material into various shapes from visual inputs, which could one day enable better home assistants.

MIT researchers have created an integrated design pipeline that enables a user with no specialized knowledge to quickly craft a customized 3D-printable robotic hand.

MIT researchers developed a trajectory-planning system for autonomous vehicles that enables them to travel from a starting point to a target location even when there are many different uncertainties in the environment.

Scientists have created a design and fabrication tool for soft pneumatic actuators for integrated sensing, which can power personalized health care, smart homes, and gaming.

MIT researchers have developed a system that enables a robot to learn a new pick-and-place task based on only a handful of human examples. This could allow a human to reprogram a robot to grasp never-before-seen objects, presented in random poses, in about 15 minutes.

MIT engineers Edward Adelson and Sandra Liu duo develop a robotic gripper with rich sensory capabilities.