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Categories: Computer Science: Encryption, Engineering: Robotics Research

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     (via sciencedaily.com)     Original source 

Combining a biological heart and a silicone robotic pump, researchers created a biorobotic heart that beats like a real one, with a focus on a valve on the left side of the heart. The heart valve simulator can mimic the structure, function, and motion of a healthy or diseased heart, allowing surgeons and researchers to demonstrate various interventions while collecting real-time data.

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Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to accurately detect small objects. Now, researchers have developed DPPFA Net, an innovative network that overcomes challenges related to occlusion and noise introduced by adverse weather. Their findings will pave the way for more perceptive and capable autonomous systems.

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Researchers have developed a new soft robot design that engages in three simultaneous behaviors: rolling forward, spinning like a record, and following a path that orbits around a central point. The device, which operates without human or computer control, holds promise for developing soft robotic devices that can be used to navigate and map unknown environments.

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Whirligig beetles, the world's fastest-swimming insect, achieve surprising speeds by employing a strategy shared by fast-swimming marine mammals and waterfowl, according to a new study that rewrites previous explanations of the physics involved.

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Researchers have used a soft, wearable robot to help a person living with Parkinson's walk without freezing. The robotic garment, worn around the hips and thighs, gives a gentle push to the hips as the leg swings, helping the patient achieve a longer stride. The device completely eliminated the participant's freezing while walking indoors, allowing them to walk faster and further than they could without the garment's help.

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People who received gentle electric currents on the back of their heads learned to maneuver a robotic surgery tool in virtual reality and then in a real setting much more easily than people who didn't receive those nudges, a new study shows.

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An interdisciplinary team consisting of researchers has revealed a striking similarity between the memory processing of artificial intelligence (AI) models and the hippocampus of the human brain. This new finding provides a novel perspective on memory consolidation, which is a process that transforms short-term memories into long-term ones, in AI systems.

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Scientists show that breathing may be used to control a wearable extra robotic arm in healthy individuals, without hindering control of other parts of the body.

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Engineers developed a robotic replica of the heart's right ventricle, which mimics the beating and blood-pumping action of live hearts. The device could be used for studying right ventricle disorders and testing devices and therapies aimed at treating those disorders.

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Artificial hands can be operated via app or with sensors placed in the muscles of the forearm. New research shows: a better understanding of muscle activity patterns in the forearm supports a more intuitive and natural control of artificial limbs. This requires a network of 128 sensors and artificial intelligence based techniques.

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Seeing robots made with soft, flexible parts in action appears to lower people's anxiety about working with them or even being replaced by them. A study found that watching videos of a soft robot working with a person at picking and placing tasks lowered the viewers' safety concerns and feelings of job insecurity. This was true even when the soft robot was shown working in close proximity to the person. This finding shows soft robots hold a potential psychological advantage over rigid robots made of metal or other hard materials.

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Unmanned Underwater Vehicles (UUVs) are used around the world to conduct difficult environmental, remote, oceanic, defense and rescue missions in often unpredictable and harsh conditions.  A new study has now used a novel bio-inspired computing artificial intelligence solution to improve the potential of UUVs and other adaptive control systems to operate more reliability in rough seas and other unpredictable conditions.  

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Inspired by a small and slow snail, scientists have developed a robot protype that may one day scoop up microplastics from the surfaces of oceans, seas and lakes.

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In a step toward more autonomous soft robots and wearable technologies, researchers have created a device that uses color to simultaneously sense multiple mechanical and temperature stimuli.

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Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to bad weather, unstructured roads, or occlusion. Now, a team of researchers has developed a novel Internet-of-Things-enabled deep learning-based end-to-end 3D object detection system with improved detection capabilities even under unfavorable conditions. This study marks a significant step in autonomous vehicle object detection technology.

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World War II concluded decades ago, but live mines lurking on the ocean floor still pose threats, potentially spewing unexpected geysers or releasing contaminants into the water. Experts conduct controlled explosions to clear underwater munitions, but concerns have arisen over the environmental impacts from these blasts. New results show that the contamination produced by detonation depends on the blast type, with weaker explosions leaving behind more potentially toxic residues.

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New technology often calls for new materials -- and with supercomputers and simulations, researchers don't have to wade through inefficient guesswork to invent them from scratch.

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An inspection design method and procedure by which mobile robots can inspect large pipe structures has been demonstrated with the successful inspection of multiple defects on a three-meter long steel pipe using guided acoustic wave sensors.

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Engineers have come up with a new way to teach robots to know when they don't know. The technique involves quantifying the fuzziness of human language and using that measurement to tell robots when to ask for further directions. Telling a robot to pick up a bowl from a table with only one bowl is fairly clear. But telling a robot to pick up a bowl when there are five bowls on the table generates a much higher degree of uncertainty -- and triggers the robot to ask for clarification.

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Researchers report that they have developed a new composite material designed to change behaviors depending on temperature in order to perform specific tasks. These materials are poised to be part of the next generation of autonomous robotics that will interact with the environment.