ABC News reporter Bopha Phorn writes about the latest iteration of a robotic cheetah developed by MIT researchers. Phorn explains that the researchers hope the cheetah will eventually be able to, “help some work that’s impossible for humans to do,” like search and rescue operations.
In this video, Reuters reporter Roselle Chen spotlights the Cheetah 3 robot, which utilizes two algorithms to run across rough terrain and maintain its balance without using cameras or sensors. Chen explains that the robot being able to navigate without cameras or sensors is like a human being able to walk around while its pitch black out.
MIT researchers have unveiled the latest iteration of their robotic cheetah that can navigate without the use of cameras or sensors and could be used for disaster response, reports Jordan Graham for The Boston Herald. “We’re mostly thinking about sending robots instead of humans where potential hazards like toxicity or radiation or dangers can be,” explains Prof. Sangbae Kim.
Writing for Popular Mechanics, Eric Limer highlights how the updated Cheetah 3 robot can navigate by feeling its way around its environment and can leap up onto tables. Limer explains that the robotic cheetah is, “able to rear back on its hind legs, leap into the air, and make a solid landing on a platform much taller than it is.”
TechCrunch reporter Brian Heater writes that Prof. Sangbae Kim and his research group robotic cheetah can now run up the stairs and walk over debris without the use of cameras or sensors. Heater explains that the robot, “utilizes a pair of new algorithms — contact detection and model-predictive control — which help it recover its balance in the case of slippage.”
CSAIL researchers have created a deep learning system that can isolate individual musical instruments in a video by clicking on the specific instrument, writes Andrew Liszewski for Gizmodo. The researchers suggest the system, “could be a vital tool when it comes to remixing and remastering older performances where the original recordings no longer exist,” explains Liszewski.
Verge reporter Rachel Becker writes that MIT researchers have developed a robotic cheetah that can run up the stairs and navigate without the use of cameras. Becker explains that the Cheetah 3 robot navigates its environment by touch, which could allow it to, “venture where humans can’t — like deep inside power plants for inspections.”
Forbes contributor Frederick Daso writes about a new MIT startup called Alba that is aimed at helping families in Latin America find qualified caregivers for children and the elderly. Daso explains that leveraging the “social networks of both the family and the prospective babysitter allows Alba to provide a babysitter for any parent.”
This BBC Click segment highlights the artificial intelligence system developed by CSAIL researchers that can monitor people’s movements through walls. Prof. Dina Katabi explains that the device helps preserve the privacy of those being monitored by separating and encrypting, “any identifiable information from the measurement.”
Fast Company reporter Steven Melendez writes that CSAIL researchers have created a new system that allows a robot to detect human brainwave patterns so it knows when it made a mistake. Melendez explains that, “Teaching robots to understand human nonverbal cues and signals could make them safer and more efficient at working with people.”
MIT researchers have developed a system that “lets a person control a robotic arm with brainwaves and subtle hand gestures,” reports Jesus Diaz for Co.Design. According to Prof. Daniela Rus, the goal is “to develop robotic systems that are a more natural and intuitive extension of us.”
Engadget reporter Jon Fingas writes that MIT researchers have developed a tiny computer chip small enough to fit on a honeybee-sized drone that can help the drone navigate. The technology could eventually be applied to, “smart pills that navigate to where they're needed, or virtually any vehicle that may need to last for a very long time on one battery charge.”
A new system developed by MIT researchers analyzes radio signals that bounce off of human bodies to track their movement and posture from behind walls, write Saqib Shah for Fox News. Shah suggests that the system could allow military personal “to ‘see’ hidden enemies by wearing augmented reality headsets.”
By measuring how radio waves bounce off of human bodies, MIT researchers have developed a system that can track movements from behind a wall, writes Andrew Liszewski for Gizmodo. The researchers are working to improve on the current stick figure icons by “generating 3D representations that include subtle and small movements,” writes Liszewski.
Researchers led by Prof. Dina Katabi have developed a system to track people’s movements from behind a wall, writes Kaleigh Rogers of Motherboard. Earlier versions were unable to track precise movements, but the system can now interpret signals bouncing off bodies and “translate it into the movement of 14 different key points on the body, including the head, elbows, and knees.”