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Walmart is enlisting the help of robots to keep up with a surge in online orders.

Exploring new approaches to improve the capabilities and accuracy of robots, a team of researchers in Singapore has turned to an unexpected source: plants.

Hidden from sight, under the UK's roads, buildings and parks, lies about one million kilometers of pipes. Maintaining and repairing these pipes require about 1.5 million road excavations a year, which causes either full or partial road closures. These works are noisy, dirty and cause a lot of inconvenience. They also cost around £5.5 billion a year.

Micro-sized robots could bring a new wave of innovation in the medical field by allowing doctors to access specific regions inside the human body without the need for highly invasive procedures. Among other things, these tiny robots could be used to carry drugs, genes or other substances to specific sites inside the body, opening up new possibilities for treating different medical conditions.

Contemporary robots can move quickly. "The motors are fast, and they're powerful," says Sabrina Neuman.

Initially earmarked for covert military operations, unmanned aerial vehicles (UAVs) or drones have since gained tremendous popularity, which has broadened the scope of their use. In fact, "remote pilot" drones have been largely replaced by "autonomous" drones for applications in various fields. One such application is their usage in rescue missions following a natural or man-made disaster. However, this often requires the drones to be able to land safely on uneven terrain—which can be very difficult to execute.

It is a high-speed movement: within fractions of a second the mouthparts of the dragonfly larvae spring forwards to seize its prey. For decades, researchers had assumed that this action must have been driven primarily by hydraulic pressure. Now, for the first time, scientists at Kiel University (CAU) have completely decrypted the biomechanical functional principle of what is known as the labial mask of dragonfly larvae. A vital contribution to this discovery was made by the team led by Dr. Sebastian Büsse of the Zoological Institute in its development of a bio-inspired robot with the operating principle of the complex mouthparts adapted to test its own hypothesis—the technology used here could lead to a significant enhancement of agile robot systems. The results of the ambitious research project were published on Wednesday 20 January in the renowned specialist journal Science Robotics.

The man who designed some of the world's most advanced dynamic robots was on a daunting mission: programming his creations to dance to the beat with a mix of fluid, explosive and expressive motions that are almost human.

Scientists at the University of Southampton and University of Edinburgh have developed a flexible underwater robot that can propel itself through water in the same style as nature's most efficient swimmer—the Aurelia aurita jellyfish.

In Jouko Kinnari's doctoral dissertation, the location of a drone can be determined using map data and sensors.

Researchers at Harvard University have recently devised a system based on Wi-Fi sensing that could enhance the collaboration between robots operating in unmapped environments. This system, presented in a paper pre-published on arXiv, can essentially emulate antenna arrays in the air as a robot moves freely in a 2-D or 3-D environment.

Humans are able to find objects in their surroundings and detect some of their properties simply by touching them. While this skill is particularly valuable for blind individuals, it can also help people with no visual impairments to complete simple tasks, such as locating and grabbing an object inside a bag or pocket.

Robots are rapidly making their way into a variety of settings, including industrial and manufacturing facilities. So far, they have shown great potential for speeding up and automating a number of manufacturing processes by substituting or assisting human workers on assembly lines. To be adopted on a large scale, however, robots for manufacturing should be both efficient and relatively affordable.

Researchers from MBARI, the University of Hawai'i at Mānoa (UH Mānoa), and Woods Hole Oceanographic Institution, after years of development and testing, have successfully demonstrated that a fleet of autonomous robots can track and study a moving microbial community in an open-ocean eddy. The results of this research effort were recently published in Science Robotics.

Schools of fish exhibit complex, synchronized behaviors that help them find food, migrate and evade predators. No one fish or team of fish coordinates these movements nor do fish communicate with each other about what to do next. Rather, these collective behaviors emerge from so-called implicit coordination—individual fish making decisions based on what they see their neighbors doing.