MIT researchers have developed a new robotic gripper that is able to grasp objects using reflexes, reports Mashable. “The Robo-Gripper has proximity and contact sensors which allows it to react to surfaces near objects to better grab them. The technology may allow these machines to be used in homes or other unique, unstructured environments.”
MIT researchers have developed SoftZoo, “an open framework platform that simulated a variety of 3D model animals performing specific tasks in multiple environmental settings,” reports Andrew Paul for Popular Science. “This computational approach to co-designing the soft robot bodies and their brains (that is, their controllers) opens the door to rapidly creating customized machines that are designed for a specific task,” says CSAIL director, Prof. Daniela Rus.
Researchers at MIT have developed “SoftZoo,” a platform designed to “study the physics, look and locomotion and other aspects of different soft robot models,” reports Brian Heater for TechCrunch. “Dragonflies can perform very agile maneuvers that other flying creatures cannot complete because they have special structures on their wings that change their center of mass when they fly,” says graduate student Tsun-Hsuan Wang. “Our platform optimizes locomotion the same way a dragonfly is naturally more adept at working through its surroundings.”
TechCrunch reporter Brian Heater spotlights how MIT researchers have developed a new approach to robotic gripping that incorporates reflexes to help grasp and sort objects. “The new system is built around an arm with two multi-joint fingers,” writes Heater. “There’s a camera on the base and sensors on the tips that record feedback. The system uses that data to adjust accordingly.”
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 created a four-legged robot called DribbleBot, reports Caroline Goggin for WHDH. The robot “can dribble a soccer ball under the same conditions as humans, using onboard sensors to travel across different types of terrain.”
Popular Science reporter Andrew Paul spotlights how researchers from MIT CSAIL have developed a soccer-playing robot, dubbed DribbleBot, that can handle a variety of real-world terrains. “DribbleBot showcases extremely impressive strides in articulation and real-time environmental analysis. Using a combination of onboarding computing and sensing, the team’s four-legged athlete can reportedly handle gravel, grass, sand, snow, and pavement, as well as pick itself up if it falls.”
MIT researchers have created “Dribblebot,” a four-legged robot capable of playing soccer across varying terrain, reports Brian Heater for TechCrunch.
Researchers at MIT have created a four-legged robot capable of dribbling a soccer ball and running across a variety of terrains, reports Ross Cristantiello for Boston.com. “Researchers hope that they will be able to teach the robot how to lift a ball over a step in the future,” writes Cristantiello. “They will also explore how the technology behind DribbleBot can be applied to other robots, allowing machines to quickly transport a range of objects around outside using legs and arms.”
Callie Gade and Nate Bonham of CNN’s Discovery Daily Podcast spotlight how researchers from MIT developed a 3D printed replica of the human heart that can help doctors customize treatments for patients before conducting open heart surgery or other intrusive procedures. “These more patient-specific heart replicas can help future researchers develop and identify treatments for people with unique health problems,” says Gade.
Pickle Robot, an MIT startup, has developed a container unloading robot, reports Brian Heater for TechCrunch. “Pickle has been single-mindedly focused on the specific problem since its inception, actually beginning life attempting to tackle the even more complex task of loading containers,” explains Heater.
MIT engineers have developed a new technique that enables bug-sized aerial robots to handle a sizeable amount of damage and still fly, reports Andrew Paul for Popular Science. “The new repair techniques could come in handy when using flying robots for search-and-rescue missions in difficult environments like dense forests or collapsed buildings,” writes Paul.
Dr. Akshay Syal, a medical fellow for NBC News, discusses how MIT researchers have developed a new technique to 3D print custom replicas of the human heart.
Mashable visits CSAIL graduate student Gregory Xie to learn about his work with Auxbots, a system of untethered modular robots. “Together in a large assembly,” Xie explains, “we can get very interesting large scale motions of the assembly. These robots are more modular because they’re untethered and the actuation is completely electromechanical.”