Rachel Gordon
Rachel Gordon, MIT CSAIL
Articles
Robotic palm mimics human touch, dexterity
MIT CSAIL researchers enhance robotic precision with sophisticated tactile sensors in the palm and agile fingers, which could improve human-robot interaction and prosthetic technology.
Using AI to discover stiff and tough microstructures
An AI system that melds simulations and physical testing to forge materials with newfound durability and flexibility has been developed for diverse engineering uses.
AI agents help explain other AI systems
MIT researchers introduce a method that uses artificial intelligence to automate the explanation of complex neural networks.
Simulation tool developed to help robots handle fluids
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.
Drones navigate unseen environments with liquid neural networks
MIT researchers exhibit autonomous drone navigation by using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.
Four-legged robotic system developed for navigating uneven terrain
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.
Soft robots grip with the right amount of force
MIT researchers created a system that lets robots effectively use grasped tools with the correct amount of force.
Soft assistive robotic wearables benefit from rapid design tool
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.
Algorithm created to make computer vision autonomous
An algorithm has been created to solve one of the hardest tasks in computer vision: assigning a label to every pixel without human supervision.
Quantum computing language developed
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.