Marc Kermisch from CNHI provides an update on how autonomy and digitization are developing to help automation.
MIT CSAIL’s research examines the economic practicality of using AI for automating tasks, with a particular emphasis on computer vision.
MIT researchers developed a framework that helps robots learn faster in new environments without needing a user to have technical knowledge.
A team of researchers from MIT CSAIL introduced a method for drones to master vision-based fly-to-target tasks in unfamiliar environments.
MIT’s DribbleBot can maneuver soccer balls on landscapes like sand, gravel, mud and snow and get up and recover the ball after falling.
The CSAIL team hopes their technology can be used to create wearable devices that provide feedback on how the user is moving.
Soft, pneumatic actuators can provide high response rates and power to input ratios, but creating them can be tedious.
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.