Researchers hope to create new security systems for robots using transaction-based interactions as a way to build trust between humans and groups of robots.
The primary goals are to ensure the benefits of AI and robotics are shared broadly and to promote participation in research.
MIT developed a high-speed flight-planning algorithm that combines simulations and experiments, in a way that minimizes the number of experiments required to identify fast and safe flight paths.
To demo the algorithm, the robot helped put a jacket on a human, which could potentially prove to be a powerful tool in expanding assistance for those with disabilities or limited mobility.
In their RoboBusiness Direct session moderated by MassRobotics Executive Director Tom Ryden, Motional CTO Laura Major and MIT Professor Julie Shah will examine the future of human-robot interaction.
The U.S. Army and MIT are exploring how metamaterials can help form modular robotic building blocks for transforming robots that can be reconfigured into different shapes and functions.
“What to Expect When You’re Expecting Robots” is a new book co-authored by MIT Associate Professor Julie Shah and Motional CTO Laura Major that explores a future populated with robot helpers.
Researchers from MIT and Brigham and Women’s Hospital hope to reduce the risk to healthcare workers posed by Covid-19 by using robots to remotely measure patients’ vital signs.
MIT researchers have developed a representation of spatial perception for robots that is modeled after the way humans perceive and navigate the world.
MIT CSAIL created a system that uses two robotic gripper with soft sensitive fingers to handle cables with unprecedented dexterity.
Using ultraviolet light, a UVC robot developed by MIT and Ava Robotics can disinfect a warehouse floor in half an hour. It could one day be used in grocery stores, schools, and other public spaces
MIT AI researcher Daniela Russ, who has two decades of experience developing human-machine collaboration, has joined Vecna Robotics’ board of directors.
The Engine has invested in RISE Robotics, which is developing electric and mechanical systems to displace hydraulics and reduce energy consumption.
A photorealistic simulation system enables autonomous vehicles to learn to drive in the real world and recover from near-crash scenarios.
Weather poses problems for self-driving car sensors, but ground-penetrating radar from MIT could be superior to cameras or lidar.
A ‘sensorized’ soft robotic arm combines soft sensors and machine learning to know where it is in a 3D environment.
Because they can move in multiple dimensions, optimizing soft robots to perform complex tasks is a huge computational challenge, but a new MIT model can help
MIT researchers have invented a way to efficiently optimize the control and design of soft robots for target tasks, which has traditionally been a monumental undertaking in computation. Soft robots have springy, flexible, stretchy bodies that can essentially move an infinite number of ways at any given moment. Computationally, this represents a highly complex “state…
MIT and Toyota researchers have developed a model to alert driverless cars when it’s safest to merge into traffic at intersections with obstructed views.
MIT researchers have designed a flexible robot whose extendable appendage can work through tight spaces and still lift heavy loads.
Little HERMES, a bipedal robot developed by researchers at MIT and the University of Illinois at Urbana-Champaign, uses teleoperation method to improve its balance.
Researchers at the Massachusetts Institute of Technology have compiled a dataset that captures the detailed behavior of a robotic system physically pushing hundreds of different objects. Using the dataset — the largest and most diverse of its kind — researchers can train robots to “learn” pushing dynamics that are fundamental to many complex object-manipulation tasks,…