Rachel Gordon

Rachel Gordon, MIT CSAIL

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Robotics April 11, 2023

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.

By Rachel Gordon
Robotics October 4, 2022

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.

By Rachel Gordon
Courtesy: MIT CSAIL
Robotics May 16, 2022

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.

By Rachel Gordon
Vision and Discrete Sensors April 28, 2022

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.

By Rachel Gordon
Image courtesy: Brett Sayles
Programming January 31, 2022

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.

By Rachel Gordon
Courtesy: MIT CSAIL
Robotics November 26, 2021

Dexterous robotic hands manipulate objects with ease

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.

By Rachel Gordon
Vision and Discrete Sensors September 10, 2021

Smart laser cutter system detects different materials

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.

By Rachel Gordon
Courtesy: MIT CSAIL
Robotics July 20, 2021

Robot algorithm improves safe motion around humans

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.

By Rachel Gordon
Robotics June 29, 2020

Robotic system developed to neutralize aerosolized forms of COVID-19

Researchers MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) collaborated with Ava Robotics and the Greater Boston Food Bank (GBFB) to design a robotic system that disinfects surfaces and neutralizes aerosolized forms of COVID-19.

By Rachel Gordon
Robotics May 2, 2020

Muscle signals can help pilot a robot, improve human-robot interaction

MIT researchers' Conduct-A-Bot system uses muscle signals to cue a drone’s movement, which could enable more natural human-robot communication.

By Rachel Gordon
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