Drones are an integral part of the defense and supply-chain industry. However, their prowess and versatility extend beyond these sectors. As the demand for UAVs (unmanned aerial vehicles) continues to increase, the drone market is now estimated to be valued at over 127 billion dollars.

        These uncrewed aircrafts can potentially develop numerous sectors, including transport and travel, exponentially. This is primarily due to their remarkable evolution of collision-avoidance technologies through computer vision and artificial intelligence, allowing them to operate autonomously.

        The dynamic innovation of drone transportation can positively impact emergency services by decreasing emergency response time, offering valuable data from inaccessible regions, and identifying victims via thermal imaging.

Though the concept of a UAV emerges from being “unmanned,” its autonomous power can be used to create functional, personal transportation. Well-known companies like Uber, Airbus, and Boeing are constantly working on developing self-flying drones that can take people from one place to another. 

        In conclusion, drone transportation has a lot of untapped potential beyond supply chain and security surveillance. Whether it is for emergencies, luxury, or space exploration, the future is optimistic for the travel industry.

Internet: <www.skygrid.com> (adapted).

        According to researchers in Mechanical Engineering at Penn State University, hummingbirds have extreme aerial agility and flight forms, which is why many drones and other aerial vehicles are designed to mimic hummingbird movement. Using a novel modeling method, Professor Bo Cheng and his team of researchers gained new insights into how hummingbirds produce wing movement, which could lead to design improvements in flying robots.

        “We essentially reverse-engineered the inner working of the wing musculoskeletal system — how the muscles and skeleton work in hummingbirds to flap the wings,” said first author and Penn State mechanical engineering graduate student Suyash Agrawal. “The traditional methods have mostly focused on measuring activity of a bird or insect when they are in natural flight or in an artificial environment where flight-like conditions are simulated. But most insects and, among birds specifically, hummingbirds are very small. The data that we can get from those measurements are limited.” 

        Penn State researchers used muscle anatomy literature, computational fluid dynamics simulation data and wing-skeletal movement information captured using micro-CT and X-ray methods to inform their model. They also used an optimization algorithm based on evolutionary strategies, known as the genetic algorithm, to calibrate the parameters of the model. According to the researchers, their approach is the first to integrate these disparate parts for biological fliers.

        With this model, the researchers uncovered previously unknown principles of hummingbird wing actuation. While Cheng emphasized that the results from the optimized model are predictions that will need validation, he said that it has implications for technological development of aerial vehicles.

Internet: <www.labmanager.com> (adapted).