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A new MIT system could help astronauts conserve energy and extend missions on the lunar surface. Need a moment of levity' Try watching videos of astronauts falling on the moon. NASA's outtakes of Apollo astronauts tripping and stumbling as they bounce in slow motion are delightfully relatable. For MIT engineers, the lunar bloopers also highlight an opportunity to innovate.

In 2016, the BBC commissioned two reptilian robots from the BioRob laboratory for a documentary on the African wilderness. The scientists never imagined how testing the devices in the wild would change their approach to robotic design. Auke Ijspeert and his team at the Laboratory of Biorobotics ( BioRob ) in EPFL's Faculty of Engineering had already tested their bio-informed robots in the wild.

Safely entering potentially unsafe areas with a robot from a distance using VR goggles. Eduardo Veas is making this possible at the Institute of Interactive Systems and Data Science at TU Graz.

A four-legged robot trained with machine learning by researchers has learned to avoid falls by spontaneously switching between walking, trotting, and pronking - a milestone for roboticists as well as biologists interested in animal locomotion. With the help of a form of machine learning called deep reinforcement learning (DRL), the EPFL robot notably learned to transition from trotting to pronking - a leaping, arch-backed gait used by animals like springbok and gazelles - to navigate a challenging terrain with gaps ranging from 14-30cm.

No crystal ball is needed to envision a future that engineers have in mind, one in which air taxis and other flying vehicles ferry passengers between urban locations, avoiding the growing gridlock on the ground below. Companies are already prototyping and testing such hybrid electric "flying cars" that take off and land vertically but soar through the air like winged aircraft to enable efficient flight over longer distances.

Researchers are targeting the next generation of soft actuators and robots with an elastomer-based ink for 3D printing objects with locally changing mechanical properties, eliminating the need for cumbersome mechanical joints. For engineers working on soft robotics or wearable devices, keeping things light is a constant challenge: heavier materials require more energy to move around, and - in the case of wearables or prostheses - cause discomfort.

New Waterloo Engineering-led research quickens the response time for robots to react to human conversation Talking to a robot often feels stilted or delayed, thanks to computer software trying to keep up with the conversation. However, new research from the University of Waterloo has improved the ability for humans to communicate naturally with humanoid robots.

Researchers track the personalities of social robots to improve how they interact with humans An interdisciplinary research team from the University of Waterloo's Social and Intelligent Robotics Research Lab (SIRRL) has found that people prefer interacting with robots they perceive to have social identities like their own.

New modular, spring-like devices maximize the work of live muscle fibers so they can be harnessed to power biohybrid bots. Our muscles are nature's perfect actuators - devices that turn energy into motion. For their size, muscle fibers are more powerful and precise than most synthetic actuators. They can even heal from damage and grow stronger with exercise.

A new algorithm reduces travel time by identifying shortcuts a robot could take on the way to its destination. If a robot traveling to a destination has just two possible paths, it needs only to compare the routes' travel time and probability of success. But if the robot is traversing a complex environment with many possible paths, choosing the best route amid so much uncertainty can quickly become an intractable problem.

Researchers have developed a haptic device capable of reproducing the softness of various materials, from a marshmallow to a beating heart, overcoming a deceptively complex challenge that has previously eluded roboticists. The perception of softness can be taken for granted, but it plays a crucial role in many actions and interactions - from judging the ripeness of an avocado to conducting a medical exam, or holding the hand of a loved one.

Jellyfish can't do much besides swim, sting, eat, and breed. They don't even have brains. Yet, these simple creatures can easily journey to the depths of the oceans in a way that humans, despite all'our sophistication, cannot. But what if humans could have jellyfish explore the oceans on our behalf, reporting back what they find? New research conducted at Caltech aims to make that a reality through the creation of what researchers call biohybrid robotic jellyfish.

Professor Ross King from Cambridge's Department of Chemical Engineering and Biotechnology, who originated the idea of a 'Robot Scientist', discusses why he believes that AI-powered scientists could surpass the best human scientists by the middle of the century, but only if AI for science is developed responsibly and ethically.

Research team at the University of Freiburg develops 3D-printed pneumatic logic modules that control the movements of soft robots using only air pressure In the future, soft robots will be able to perform tasks that cannot be done by conventional robots. These soft robots could be used in terrain that is difficult to access and in environments where they are exposed to chemicals or radiation that would harm electronically controlled robots made of metal.

It abseils from a height and swings around obstacles: robot Avocado will one day manoeuvre through the canopy of the rainforest and collect data for researchers about this hard-to-reach habitat. It's called Avocado and does actually look a bit like one: currently being developed by researcher on, the innovative robot has a robust housing similar in shape to the green fruit.

Researchers at ETH Zurich have recently developed artificial muscles for robot motion. Their solution offers several advantages over previous technologies: it can be used wherever robots need to be soft rather than rigid or where they need more sensitivity when interacting with their environment. Many roboticists dream of building robots that are not just a combination of metal or other hard materials and motors but also softer and more adaptable.

Researchers have developed a robotic sensor that incorporates artificial intelligence techniques to read braille at speeds roughly double that of most human readers. The research team, from the University of Cambridge, used machine learning algorithms to teach a robotic sensor to quickly slide over lines of braille text.

Surgical robotics are amongst the most complex devices entering healthcare, but how should we evaluate them? Published in Nature Medicine , the Idea, Development, Exploration, Assessment and Long-term monitoring (IDEAL) Robotics Colloquium outlines the latest guidance to aid researchers evaluating surgical robots.

Science, Health & Technology Lou Corpuz-Bosshart New washable wireless smart textile technology developed at UBC in collaboration with Vancouver startup also has potential uses in virtual reality and American Sign Language translation This month, a group of stroke survivors in B.C. will test a new technology designed to aid their recovery, and ultimately restore use of their limbs and hands.

It is extremely time-consuming to measure how sound behaves in a room. The Lucerne University of Applied Sciences and Arts and the hearing aid manufacturer Sonova have therefore developed robots that can take over this task. This serves to improve hearing aids in rooms with a lot of background noise.