Rachel Gordon, MIT CSAIL
MIT researchers have created a simulation tool for robots to manipulate complex fluids in a step toward helping them more effortlessly assist with daily tasks.
MIT researchers exhibit autonomous drone navigation by using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.
DribbleBot is a four-legged robot that can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics. See video.
MIT researchers created a system that lets robots effectively use grasped tools with the correct amount of force.
MIT researchers have created a design and fabrication tool for soft pneumatic actuators for integrated sensing, which can power personalized health care, smart homes, and gaming.
An algorithm has been created to solve one of the hardest tasks in computer vision: assigning a label to every pixel without human supervision.
Twist is an MIT-developed programming language that can describe and verify which pieces of data are entangled to prevent bugs in a quantum program.
Model-free framework reorients over 2,000 diverse objects with a hand facing both upward and downward, in a step toward more human-like manipulation. See video.
A smart material-sensing platform for laser cutters that can differentiate between 30 materials commonly found in makerspaces and workshops has been developed by MIT researchers. See video demonstration.
Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have created an algorithm to help a robot find efficient motion plans to ensure physical safety of its human counterpart. See video.