Forbes reporter Rob Toews spotlights Prof. Daniela Rus, director of CSAIL, and research affiliate Ramin Hasani and their work with liquid neural networks. “The ‘liquid’ in the name refers to the fact that the model’s weights are probabilistic rather than constant, allowing them to vary fluidly depending on the inputs the model is exposed to,” writes Toews.
Popular Science reporter Jamie Dickman writes that using liquid neural networks, MIT researchers have “trained a drone to identify and navigate toward objects in varying environments.” Dickman notes that: “These robust networks enable the drone to adapt in real-time, even after initial training, allowing it to identify a target object despite changes in their environment.”
Researchers at MIT have developed a new type of autonomous drone that uses advanced neural networks to fly, reports Tony Ho Tran for The Daily Beast. “The new design allows the drone to make better decisions when flying through completely new environments,” writes Tran, “and could have future applications in self-driving cars, search and rescue operations, wildlife monitoring, or even diagnosing medical issues.”
Researchers at MIT have developed a drone that can be controlled using hand gestures, reports Mashable. “I think it’s important to think carefully about how machine learning and robotics can help people to have a higher quality of life and be more productive,” says postdoc Joseph DelPreto. “So we want to combine what robots do well and what people do well so that they can be more effective teams.”
Researchers at MIT developed SoFi, a soft robotic fish designed to study underwater organisms and their environments, reports Mashable. “The soft robotic fish serves a nice purpose for hopefully minimizing impact on the environments that we’re studying and also helps us study different types of behaviors and also study the actual mechanics of these organisms as well,” says graduate student Levi Cai.
National Geographic reporter Maya Wei-Haas explores how the ancient art of origami is being applied to fields such a robotics, medicine and space exploration. Wei-Haas notes that Prof. Daniela Rus and her team developed a robot that can fold to fit inside a pill capsule, while Prof. Erik Demaine has designed complex, curving fold patterns. “You get these really impressive 3D forms with very simple creasing,” says Demaine.
CSAIL researchers have developed a robotic arm equipped with a sensorized soft brush that can untangle hair, reports Douglas Belkin for The Wall Street Journal. “The laboratory brush is outfitted with sensors that detect tension," writes Belkin. “That tension reads as pain and is used to determine whether to use long strokes or shorter ones.”
TechCrunch reporter Darrell Etherington writes that CSAIL researchers have built a new two-fingered robotic gripper. The researchers “equipped their robotic gripper with fingertips that are not only made out of a soft material, but that also have embedded sensors which help it continually detect the position of a cable between the grippers to better control holding and manipulating them while performing simple tasks like detangling.”
CSAIL’s RoboRaise robot can successfully execute the Bottle Cap Challenge, removing a bottle cap with a well-placed kick, reports Darrell Etherington for TechCrunch. Etherington explains that the robot, “can mirror the actions of a human just by watching their bicep. This has a number of practical applications, including potentially assisting a person to lift large or awkward objects.”
In this video, Mashable highlights how CSAIL researchers have developed a new system that can help lift heavy objects by mirroring human activity. The system uses sensors that monitor muscle activity and detect changes in the user’s arm.
Popular Science reporter Rob Verger writes that MIT researchers have developed a new mechanical system that can help humans lift heavy objects. “Overall the system aims to make it easier for people and robots to work together as a team on physical tasks,” explains graduate student Joseph DelPreto.
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.