Drones

Prof. Raphael Zufferey and his colleagues developed a winged robot that can swim underwater and fly through the air, writes New York Times reporter K.R. Callaway. The robot was inspired by data from nearly 100 species of diving birds. “There was a very good chance that this [design] would have not been possible at all,” says Zufferey. “I took that risk because I believed that if birds could do it, with good engineering we might also be able to.” 

An article by ZME Science reporter Jordan Strickler showcases FAAV, the flapping-wing aerial-aquatic vehicle, by Assistant Prof. Raphael Zufferey that can dive underwater and take flight like an aquatic bird in order to take underwater measurements and samples. “Our dream vision is for oceanographers, marine biologists, and members of coastal communities to launch this robot from a boat, or from shore, and it would fly close to the area of interest, such as an iceberg or a port facility, or over a pod of whales,” says Zufferey.  

NPR’s Ari Daniel features a new, winged robot by Assistant Prof. Raphael Zufferey that can swim and fly like a diving bird. "Thinking of a wing that could operate in both [air and water] somewhat efficiently seems implausible," Zufferey recalls thinking. He plans to use the robot for a range of applications, including monitoring harmful algal blooms, fish stocks, and coastal erosion.  

Writing for Forbes about efforts to improve air travel safety, Tanya Eves highlights the Air-Guardian system, an eye-tracking monitor for pilots developed by CSAIL researchers that assists when attention wavers. “In tests, it reduced flight risk and improved navigation success rates,” writes Eves. “It's a model for how the virtual co-pilot relationship should work: not replacement, but a seamless, intelligent partnership that understands when to act and when to stay silent.”

Graduate student Yi-Hsuan (Nemo) Hsiao and his colleagues have developed insect-sized robots to assist with artificial pollination as bee populations decline, reports Maria Simon Arboleas for Euractiv. “The tiny drones, lighter than a paperclip, can fly at speeds of up to two meters per second for more than 1,000 seconds, while performing complex maneuvers such as repeated backflips,” writes Arboleas.

Prof. Kevin Chen and his colleagues have developed a bee-like robot that can assist with farming practices, such as artificial pollination without damaging crops, reports Claire Turrell for Offrange. “Chen’s robot bee, which is tethered to a power source, is currently limited to flying between plastic flowers in the lab, but the robot engineer can see its potential,” explains Turrell. “Bees are doing great in terms of open-field farming,” says Chen. “But there is one potential type of pollination I think we can consider in the longer term, which is indoor farming,” 

Prof. Jonathan How and graduate student Yi-Hsuan (Nemo) Hsiao speak with Tech Briefs reporter Andrew Corselli about their latest work developing an aerial microrobot that is “agile enough complete 10 consecutive somersaults in 11 seconds, even when wind disturbances threatened to push it off course.” Hsiao explains that: “This work demonstrates that soft and microrobots, traditionally limited in speed, can now leverage advanced control algorithms to achieve agility approaching that of natural insects and larger robots, opening up new opportunities for multimodal locomotion.” 

Prof. Kevin Chen and his colleagues have designed a tiny, insect-sized aerial microrobot that is “faster and more acrobatic than any of its predecessors,” reports Phie Jacobs for Science. The device, “which measures just 4 centimeters across and weighs less than a paperclip, flies almost five times faster and accelerates twice as quickly as existing microrobots,” explains Jacobs. “It can also execute sharp turns while enduring 160-centimeter-per-second wind gusts and—perhaps most impressively—can complete 10 consecutive somersaults in 11 seconds.” 

Forbes contributor Tanya Fileva spotlights how MIT CSAIL researchers have developed a system called Air-Guardian, an “AI-enabled copilot that monitors a pilot’s gaze and intervenes when their attention is lacking.” Fileva notes that “in tests, the system ‘reduced the risk level of flights and increased the success rate of navigating to target points’—demonstrating how AI copilots can enhance safety by assisting with real-time decision-making.”

Researchers at MIT have developed a “small, hopping robot designed to traverse challenging environments,” reports Emmett Smith for Mashable. “The robot utilizes a spring-loaded leg for propulsion and incorporates flapping wing modules for stability and control,” explains Smith. “This design enables movement across diverse surfaces and the ability to carry loads exceeding its own weight.” 

Graduate student Yi-Hsuan (Nemo) Hsiao and City University of Hong Kong Prof. Pakpong Chirarattananon have developed a “hopping robot that can leap over tall obstacles and jump across slanted or uneven surfaces, while using far less energy than an aerial robot,” writes Andrew Corselli for Tech Briefs Magazine. “One of the biggest challenges is our robot is still connected with a power cable,” explains Hsiao. “I think going into power autonomy — which means we carry a battery and a sensor onboard — will be the next step. And this robot has really opened the opportunities for us to do that.”

Research Assistants Maisy Lam and Laura Dodds speak with Tech Briefs reporter Andrew Corselli about their work developing MiFly, a new approach that “enables a drone to self-localize, or determine its position, in indoor, dark, and low-visibility environments.” Dodds explains: “Our high-level idea was we can place a millimeter wave sensor on the drone, and it can localize itself with respect to a sticker that we place on the wall, a millimeter wave tag. This would allow us to provide a localization system in these challenging environments with minimal infrastructure.”

In this interview (in Spanish), graduate students Suhan Kim and Yi-Hsuan (Nemo) Hsiao speak with Telemundo correspondent Miriam Arias about their work developing insect-sized robots to assist with agricultural needs. “There might be one year where you have a lot of bees in the field that help you pollinate everything. Maybe the next year, it might be affected by the temperature or something [and] you just don’t have enough bees to help you do so,” explains Hsiao. 

MIT engineers have developed a new training method to help ensure the safe operation of multiagent systems, including robots, search-and-rescue drones and self-driving cars, reports Jijo Malayil for Interesting Engineering. The new approach “doesn’t focus on rigid paths but rather enables agents to continuously map their safety margins—the boundaries within which they must stay,” writes Malayil. 

Graduate students Suhan Kim and Yi-Hsuan (Nemo) Hsiao speak with Tech Briefs reporter Andrew Corselli about their work developing insect-sized robots capable of artificial pollination. “Typical drones use electromagnetic motors plus propellers. But, our system is a little different in that we are primarily using an artificial muscle,” explains Kim.