A Simple Fix for Crowded Robot Swarms

ENG: Researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences, led by L. Mahadevan and Ph.D. student Lucy Liu, studied how groups of robots behave in crowded spaces. Their work focused on a common problem in swarm robotics, where adding more robots can first improve performance, then reduce efficiency when the space becomes too crowded. The goal of the study was to find how many robots can work efficiently in a limited area and how their movement can be adjusted to avoid traffic jams.

Credit: Lucy Liu / Harvard SEAS
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Microrobot Swarms: A Revolutionary Step in Collaborative Robotics and Medical Innovation

ENG: Scientists in South Korea have developed swarms of tiny magnetic robots that work together like ants, achieving remarkable feats such as climbing obstacles and carrying objects much larger than themselves. These microrobots, powered by a rotating magnetic field, show promise for tasks like minimally invasive medical treatments, such as clearing clogged arteries and guiding microorganisms with precision. Jeong Jae Wie of Hanyang University highlighted their surprising adaptability and advanced level of swarm control, which allows them to operate effectively in challenging environments.

Credit: Jeong Jae Wie
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Caterbot? Robotapillar? It crawls with ease through loops and bends

ENG: Engineers at Princeton and North Carolina State University have developed a novel soft robot inspired by ancient paper folding techniques and modern materials science. This innovative robot can navigate through intricate mazes and obstacles with ease. The team has incorporated its steering system directly into the robot’s body, allowing it to maneuver effectively without compromising flexibility.

Credit:  Frank Wojciechowski
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Researchers Develop a New Control Method That Optimizes Autonomous Ship Navigation

ENG: In the rapidly evolving field of maritime technology, the introduction of Maritime Autonomous Surface Ships (MASS) stands out as a landmark innovation, offering a glimpse into the future of autonomous maritime navigation. However, the journey towards fully autonomous maritime operations faces significant challenges, particularly in developing control systems adept at navigating the unpredictable conditions of the open sea. Traditional models have largely focused on calm water scenarios, neglecting the complex dynamics of sea forces, such as wave loads, on ship maneuvering. To bridge this gap, Assistant Professor Daejeong Kim and his team at Korea Maritime & Ocean University have developed a groundbreaking control approach that incorporates these sea forces, marking a significant advance in MASS technology.

Credit: Daejeong Kim from Korea Maritime & Ocean University
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