Getting dressed with help from robots
A human-aware motion planning algorithm addresses the safety gap in collaboration between robots and humans.
A human-aware motion planning algorithm addresses the safety gap in collaboration between robots and humans.
“This is a really exciting time to be a roboticist who also cares about the environment,” says PhD student Victoria Preston.
Peter Howard SM ’84 is the CEO of Realtime Robotics, a startup transforming autonomous robot motion planning to enable seamless, affordable human-robot collaboration.
A new material made from carbon nanotubes can generate electricity by scavenging energy from its environment.
The technology uses tactile sensing to identify objects underground, and might one day help disarm land mines or inspect cables.
Algorithm enables robot teams to complete missions, such as mapping or search-and-rescue, with minimal wasted effort.
Robotic arm equipped with a hairbrush helps with brushing tasks and could be an asset in assistive-care settings.
System uses penetrative radio frequency to pinpoint items, even when they’re hidden from view.
By measuring a person’s movements and poses, smart clothes developed at MIT CSAIL could be used for athletic training, rehabilitation, or health-monitoring for elder-care facilities.
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
Method builds on gaming techniques to help autonomous vehicles navigate in the real world, where signals may be imperfect.
Study finds patients are receptive to interacting with robots designed to evaluate symptoms in a contact-free way.
New type of control system may broaden robots’ range of tasks and allow safer interactions with people.
The technology could boost aerial robots’ repertoire, allowing them to operate in cramped spaces and withstand collisions.
The patch, which can be folded around surgical tools, may someday be used in robotic surgery to repair tissues and organs.