HowToRobot said its findings confirm that businesses see robots and automation as a supplement to human labor, not a replacement.

Researchers at Stanford have invented a way to augment electric motors to make them more efficient at performing dynamic movements.

Researchers are already using generative AI to make robots faster learners, and a summit panel will discuss how this technology can be applied to robotics at scale. 

Head-Worn Assistive Device impresses expert evaluator Henry Evans during a trial to control Hello Robot’s Stretch mobile manipulator.

TRI’s Punyo humanoid robot can manipulate objects with its whole body, giving it more flexibility when it comes to household tasks.

TWIN is a motorized exoskeleton designed to be customized to enhance the physical abilities of each wearer.

MIT AI experts have applied a deep-learning model that can decongest robots nearly four times faster than typical strong random search methods. 

Robots have emerged as a method to collect regolith due to their lower risks and costs compared to human spaceflight.

The Wyss Center’s Synapsuit project aims to develop high-performance algorithms that decode complex brain signals.

Technologies such as RoboGuide could enable people with visual impairments to more fully navigate and interact with the world.

An analysis of American Joint Replacement Registry data found that revision rates were similar in conventional and surgical robot knee procedures.

The IFR has cited technology trends including the rise of generative AI, mobile manipulation, and humanoid robots for 2024.

The results of ProGlove’s survey show retail leaders have conservative expectations for adopting automation.

The CMU team’s modular robots crawl inside gas pipelines to map, detect decrepit or leaking pipes, and perform repairs.

MIT CSAIL’s research examines the economic practicality of using AI for automating tasks, with a particular emphasis on computer vision.

MassRobotics and its technology partners will announce the winners of the Form and Function challenge at the Robotics Summit & Expo.

A multimodal system uses models trained on language, vision, and action data to help robots develop and execute plans for household, construction, and manufacturing tasks.

Project Ddog aims to turn a Boston Dynamics Spot quadruped into a basic communicator for those with physical challenges such as ALS. 

An effort to create a control model that moves seamlessly between different activities like standing, walking and climbing stairs is renewed by the National Institutes of Health

The realistic model could aid the development of better heart implants and shed light on understudied heart disorders.

Northeastern University researchers have developed the Hydrilla Hunter, a robot designed to detect invasive plants in rivers.

RoboCLIP algorithm has been pre-trained on large amounts of video and textual demonstrations.