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]

The rapid expansion of soft robots and smart electronic devices is driving demand for materials that can not only move and adapt, but also complete their missions without leaving behind unwanted traces. As these technologies are increasingly explored for health care, environmental monitoring, infrastructure inspection, and security applications, robots and devices are expected to operate in places where human access is limited—such as narrow pipes, sealed spaces, underground facilities, and hazardous environments.The rapid expansion of soft robots and smart electronic devices is driving demand for materials that can not only move and adapt, but also complete their missions without leaving behind unwanted traces. As these technologies are increasingly explored for health care, environmental monitoring, infrastructure inspection, and security applications, robots and devices are expected to operate in places where human access is limited—such as narrow pipes, sealed spaces, underground facilities, and hazardous environments.[#item_full_content]

From the shallow shores of Lake Wahlberg to the salty depths of the ocean, University of Florida researchers are dropping robots in the water and training them to communicate more efficiently in murky conditions.From the shallow shores of Lake Wahlberg to the salty depths of the ocean, University of Florida researchers are dropping robots in the water and training them to communicate more efficiently in murky conditions.[#item_full_content]

SUTD researchers have developed a reinforcement-learning-based safety system that teaches a stair-traversing service robot to brace itself mid-fall, addressing one of the biggest barriers to deploying autonomous robots on staircases.SUTD researchers have developed a reinforcement-learning-based safety system that teaches a stair-traversing service robot to brace itself mid-fall, addressing one of the biggest barriers to deploying autonomous robots on staircases.[#item_full_content]

Scientists at the USC Viterbi School of Engineering have developed a robotic hand that can hear a melody once and play it back after just two minutes of self-taught practice on a keyboard, without relying on sheet music or preprogrammed scores.Scientists at the USC Viterbi School of Engineering have developed a robotic hand that can hear a melody once and play it back after just two minutes of self-taught practice on a keyboard, without relying on sheet music or preprogrammed scores.[#item_full_content]

Cyborg insects have long been studied as bio-hybrid systems that combine living organisms with small electronic devices. These systems may one day support tasks such as disaster search and rescue, environmental monitoring, and sensing in spaces too small or dangerous for conventional robots. However, most existing systems control insects based mainly on externally visible behavior, such as whether the insect is walking or stopping.Cyborg insects have long been studied as bio-hybrid systems that combine living organisms with small electronic devices. These systems may one day support tasks such as disaster search and rescue, environmental monitoring, and sensing in spaces too small or dangerous for conventional robots. However, most existing systems control insects based mainly on externally visible behavior, such as whether the insect is walking or stopping.[#item_full_content]

Engineers have invented an ingenious liquid-metal pump that could make future soft robotics and wearable devices much more portable and agile. The innovation, led by the University of Bristol and published in the journal Nature Communications, presents a low-voltage power source with the potential to transform robotic systems for a wide range of applications, from robotic legs to haptic gloves used in medical and industrial settings.Engineers have invented an ingenious liquid-metal pump that could make future soft robotics and wearable devices much more portable and agile. The innovation, led by the University of Bristol and published in the journal Nature Communications, presents a low-voltage power source with the potential to transform robotic systems for a wide range of applications, from robotic legs to haptic gloves used in medical and industrial settings.[#item_full_content]