Beijing cleaner Lin Meiqiong found her work a little easier the day she was paired with an unlikely new colleague—a tall, wheeled robot with AI-powered tidying skills.Beijing cleaner Lin Meiqiong found her work a little easier the day she was paired with an unlikely new colleague—a tall, wheeled robot with AI-powered tidying skills.[#item_full_content]

A bicycle robot from the Robotics and AI Institute (RAI) in Cambridge, Massachusetts, has become the first to perform an unassisted acrobatic front flip. RAI calls the bicycle robot an ultra-mobility vehicle (UMV). It can reach a height of 3 feet (0.9 meters) and can jump from the floor onto a platform. The contributions of a Georgia Tech Ph.D. student helped make these feats possible through a robot control policy he developed.A bicycle robot from the Robotics and AI Institute (RAI) in Cambridge, Massachusetts, has become the first to perform an unassisted acrobatic front flip. RAI calls the bicycle robot an ultra-mobility vehicle (UMV). It can reach a height of 3 feet (0.9 meters) and can jump from the floor onto a platform. The contributions of a Georgia Tech Ph.D. student helped make these feats possible through a robot control policy he developed.[#item_full_content]

Cornell researchers are investigating the potential for using artificial intelligence to give robots social intelligence—the ability to read facial cues, anticipate the needs of those around them, and function within society. The new study tested the ability of vision language models (VLMs)—AI systems that can interpret and generate both visual information and language—to predict whether a tense scenario in a short video would end well or badly, such as a toddler carrying an overly full mug of coffee.Cornell researchers are investigating the potential for using artificial intelligence to give robots social intelligence—the ability to read facial cues, anticipate the needs of those around them, and function within society. The new study tested the ability of vision language models (VLMs)—AI systems that can interpret and generate both visual information and language—to predict whether a tense scenario in a short video would end well or badly, such as a toddler carrying an overly full mug of coffee.[#item_full_content]

Humanoid robots struggling with tasks like grasping a cup have a new teacher—a person wearing an ultrasound wristband that captures the movement of muscles, tendons and ligaments beneath the skin.Humanoid robots struggling with tasks like grasping a cup have a new teacher—a person wearing an ultrasound wristband that captures the movement of muscles, tendons and ligaments beneath the skin.[#item_full_content]

It’s a race against the clock when someone falls overboard: People’s chances of being found before they drown from exhaustion or freeze to death dwindle by the minute. Rescue efforts are often hampered by the time it takes a vessel at full throttle to halt so a rescue boat can be deployed and start searching for the person, who is by now far from the ship.It’s a race against the clock when someone falls overboard: People’s chances of being found before they drown from exhaustion or freeze to death dwindle by the minute. Rescue efforts are often hampered by the time it takes a vessel at full throttle to halt so a rescue boat can be deployed and start searching for the person, who is by now far from the ship.[#item_full_content]

The oceans hide some of the most sophisticated solutions nature has ever developed and are an inexhaustible source of inspiration for the robotics of the future. The Bioinspired Soft Robotics research unit, coordinated by Barbara Mazzolai, associate director for robotics at the Istituto Italiano di Tecnologia (IIT—Italian Institute of Technology), has developed an octopus-inspired soft robotic arm that, thanks to the technology embedded in its artificial suction cups, is capable of sensing contact, estimating the intensity and direction of the applied force, and grasping objects autonomously, even in complex environments such as underwater settings.The oceans hide some of the most sophisticated solutions nature has ever developed and are an inexhaustible source of inspiration for the robotics of the future. The Bioinspired Soft Robotics research unit, coordinated by Barbara Mazzolai, associate director for robotics at the Istituto Italiano di Tecnologia (IIT—Italian Institute of Technology), has developed an octopus-inspired soft robotic arm that, thanks to the technology embedded in its artificial suction cups, is capable of sensing contact, estimating the intensity and direction of the applied force, and grasping objects autonomously, even in complex environments such as underwater settings.[#item_full_content]

Someone with no computing experience may soon be able to remotely control a robot from anywhere on the planet using a smartphone, thanks to new technology developed by Georgia Tech. The new technology is also set to revolutionize the scale of policy training data collection, which is essential to advancing robotic capabilities and meeting growing production demand.Someone with no computing experience may soon be able to remotely control a robot from anywhere on the planet using a smartphone, thanks to new technology developed by Georgia Tech. The new technology is also set to revolutionize the scale of policy training data collection, which is essential to advancing robotic capabilities and meeting growing production demand.[#item_full_content]

If the future of warehouse work belongs to humans and robots working side by side, a key question remains: What is the most effective way for them to collaborate?If the future of warehouse work belongs to humans and robots working side by side, a key question remains: What is the most effective way for them to collaborate?[#item_full_content]

Teaching robots to manipulate objects with humanlike dexterity has long been one of robotics’ toughest challenges. Tasks such as rotating an object in-hand or coordinating two robot arms to maneuver a bulky item require constant changes in contact, grip, and motion, skills that are difficult both to program and to demonstrate through human teleoperation.Teaching robots to manipulate objects with humanlike dexterity has long been one of robotics’ toughest challenges. Tasks such as rotating an object in-hand or coordinating two robot arms to maneuver a bulky item require constant changes in contact, grip, and motion, skills that are difficult both to program and to demonstrate through human teleoperation.[#item_full_content]

Imagine working at a warehouse or office sometime in the near future, and you’re asked to help a new trainee learn the basics of their job. The catch: It’s a robot. To teach them, you might want to play a game of “show and tell”—that is, physically showing how to do something a few different ways, while also explaining what you’re doing.Imagine working at a warehouse or office sometime in the near future, and you’re asked to help a new trainee learn the basics of their job. The catch: It’s a robot. To teach them, you might want to play a game of “show and tell”—that is, physically showing how to do something a few different ways, while also explaining what you’re doing.[#item_full_content]