Defense Advanced Research Projects Agency (DARPA)

In this video, Mashable spotlights how MIT researchers have developed an origami-inspired soft robotic gripper that can grasp a wide variety of objects. 

Fast Company reporter Mark Wilson writes that CSAIL researchers have developed a new soft robotic gripper that is modeled after a Venus flytrap. “Dubbed the Magic Ball, it’s a rubber and plastic structure that can contract around an object like an origami flower,” Wilson explains.

CSAIL researchers have developed a new robotic gripper that contains an origami skeleton, enabling the device to open and close like a flower and grasp a variety of delicate and heavy objects, reports James Vincent for The Verge “By combining this foldable skeleton with the soft exterior, we get the best of both worlds,” explains Prof. Daniela Rus, director of CSAIL.

TechCrunch reporter Brian Heater writes that researchers at CSAIL and Harvard have developed a soft robotic gripper that can both handle delicate objects and lift items up to 100 times its own weight. “The gripper itself is made of an origami-inspired skeletal structure, covered in either fabric or a deflated balloon,” explains Heater.

A team of researchers led by Prof. J. Christopher Love has developed a system to produce on-demand clinical-grade vaccines and drugs, writes Dr. Francis Collins on the NIH Director’s Blog. In addition to allowing on site production for hospitals the systems could also “produce biologic treatments specially tailored to attack the cancer of a particular individual,” suggests Collins.

Writing for STAT, Karen Weintraub spotlights Prof. J. Christopher Love’s work developing a new desktop drug manufacturing process that can produce thousands of doses of biopharmaceuticals on demand. “I think in the long run there’ll be an opportunity to think about manufacturing for patients in a new way,” says Love.

This CNN video profiles the new Cheetah 3 robot, which can avoid obstacles and climb stairs without using external visual sensors. CNN notes that the cheetah, “relies on ‘feel’ in place of cameras or sensors, using ‘blind locomotion.’”

Elise Takahama writes for The Boston Globe that MIT researchers have developed a new technique to create “xenoproteins,” manmade proteins that could be used to battle infectious diseases like Ebola. Unlike drugs developed with natural proteins, the xenoproteins, “are more stable, easier to administer, and manufactured more quickly,” Takahama explains.

A new study by MIT researchers shows how stress can lead people to make risky decisions, reports Kristin Hugo for Newsweek. “The study lends insights into how neurological disorders affect people. It could be the stress of dealing with inabilities to function properly and staving off cravings, compounded with the chemical effects on the brain, that are influencing people’s uninhibited behavior.”

Using video to processes shadows, MIT researchers have developed an algorithm that can see around corners, writes Alyssa Meyers for The Boston Globe. “When you first think about this, you might think it’s crazy or impossible, but we’ve shown that it’s not if you can understand the physics of how light propagates,” says lead author and MIT graduate Katie Bouman.

CSAIL researchers have developed a system that detects objects and people hidden around blind corners, writes Anthony Cuthbertson for Newsweek. “We show that walls and other obstructions with edges can be exploited as naturally occurring ‘cameras’ that reveal the hidden scenes beyond them,” says lead author and MIT graduate Katherine Bouman.

MIT researchers have developed a new system that can spot moving objects hidden from view by corners, reports Douglas Heaven for New Scientist. “A lot of our work involves finding hidden signals you wouldn’t think would be there,” explains lead author and MIT graduate Katie Bouman. 

Wired reporter Matt Simon writes that MIT researchers have developed a new system that analyzes the light at the edges of walls to see around corners. Simon notes that the technology could be used to improve self-driving cars, autonomous wheelchairs, health care robots and more.  

Prof. Mohammad Alizadeh and his colleagues "have developed a way to approach network monitoring that provides flexibility in data collection while still keeping both the circuit complexity of the router and the number of external servers low," writes Amy Wallace for UPI. 

During this episode of Globo’s “Caldeirão do Huck”, host Luciano Huck speaks with several MIT affiliates, including graduate student João Ramos to learn more about his research at MIT. The episode features a visit to Prof. Sangbae Kim’s lab, where Ramos demonstrates a robot the group developed that could be used to aid with disaster response.