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.

A new robotic manipulation course provides a broad survey of state-of-the-art robotics, equipping students to identify and solve the field’s biggest problems.

MIT researchers design a robot that has a trick or two up its sleeve.

Researchers from MIT and elsewhere have created a framework that could enable a robot to effectively complete complex manipulation tasks with deformable objects, like dough or cloth, that require many tools and take a long time to complete.

CSAIL scientists came up with a learning pipeline for the four-legged robot that learns to run entirely by trial and error in simulation.

Theories from cognitive science and psychology could help humans learn to collaborate with robots faster and more effectively, scientists find.

Self-reconfiguring ElectroVoxels use embedded electromagnets to test applications for space exploration.

Researchers have created a method to help workers collaborate with artificial intelligence systems.