swimming
Miami waitress accused of extortion & threatening to send intimate pics after learning she was the other woman
'I literally think this is going to be it for me': Hiker recounts grizzly bear encounter in Canada Creature dubbed'Syracuse Figure' spotted in New York: Is it Bigfoot or an elderly skinny-dipper? Taylor Sheridan's Landman faces lengthy wait as season 3 production timeline revealed Man in trouble for using robot vacuum to record wife's affair, friends with benefits lease up & hall pass wins Country music star Riley Green keeps cooking with new single'That's Just Me' from upcoming album Internet reacts to Georgia schoolteacher's groundbreaking invention, the'fart corner' Rockstar finally releases statement regarding'Grand Theft Auto VI' leaks, leaving fans even more confused Let's look back on the best moments (read: crashes) from the World Humanoid Robot Games Liam Neeson and Zachary Levi lead ex-CIA heist in Tehran in new trailer for'The Fix' First preview drops for'Brothers' as'True Detective' stars reunite on Apple TV this September'Serial defecator' on the loose in Tulsa, last seen wearing a thong, mask with a hole cut out & a shower cap Lawmakers take aim at'birth tourism' on Capitol Hill Judge to decide whether Charlie Kirk's accused killer stands trial Iran has always been a'surrogate' of Russia and China: Harward Lindsay Clancy trial jurors resume deliberations after judge's instructions to keep working Trump is going to have to do something'different' with Iran: Ret. Army Secretary Dan Driscoll submits resignation after clashing with Hegseth for'months' Greg Gutfeld reacts to the news that Rep. Alexandria Ocasio-Cortez split from her longtime fiancé, Riley Roberts. He breaks down the relationship update and jokingly predicts that the progressive congresswoman will end up marrying a police officer next. Let me start off by saying that I'd never want to discourage anyone from following their heart.
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Mashable Selects Look Up Mashable Voices Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Say More Safety Net Creator Hub Versus Gift Ideas For Everyone On Your List Switch Off Trending Now In My Bag All Series Lauren Allain is a freelance journalist covering deals at Mashable. She graduated from Western Washington University with a B.A. in journalism and holds an M.B.A from Webster Leiden. You can find more of her work online from publications including Reader's Digest, U.S. News & World Report, Seattle Refined, and more. When she's not writing, Lauren prefers to be outside hiking, bouldering, swimming, or searching for the perfect location for all three. All products featured here are independently selected by our editors and writers.
Intermittent swimming promotes the energy efficiency of fish-like robot movements
Improving energy performance can effectively extend the time a robot can operate and reduce battery load, enabling lighter, more flexible, and more durable robotic systems. Nature has evolved optimal energy-saving locomotion strategies through billions of years of natural selection, providing unparalleled blueprints for robotic optimization. Among diverse modes of aquatic locomotion, intermittent swimming, also called bout-and-glide swimming, is a widespread adaptive behavior in aquatic organisms of a wide range of sizes, including larval zebrafish, red-nose tetra, koi carp, and even whales. This natural bout-and-glide gait features alternating motion phases: short periods of active body and tail undulation for propulsion, followed by passive gliding with a streamlined, straight body posture. It is widely recognized that this intermittent swimming gait is closely associated with optimizing biological energy, making it of great research value to transplant and explore such natural motion mechanisms into robotic control systems.
Stingray-inspired robot cracks the mystery of how rays swim
'Nature seems to have already solved the problem.' Breakthroughs, discoveries, and DIY tips sent six days a week. To help figure out what makes stingrays such unique and unusual swimmers, a team of mechanical engineers at the University of California, Riverside (UCR) created a wavy robotic fin. After submerging the robot in underwater tunnels designed to mimic swimming near the sea floor, their tests indicate that different types of ray species may have evolved alternative swimming techniques that best suit their setting. Specifically, the findings suggest that some ray species swimming near the seafloor adjust the way their fins move and tilt to counter a downward force that would otherwise pull them toward the ground. It turns out that stingrays gracefully gliding along waves near seabeds aren't doing it to look cool.
PuffyBot: An Untethered Shape Morphing Robot for Multi-environment Locomotion
Singh, Shashwat, Si, Zilin, Temel, Zeynep
Amphibians adapt their morphologies and motions to accommodate movement in both terrestrial and aquatic environments. Inspired by these biological features, we present PuffyBot, an untethered shape morphing robot capable of changing its body morphology to navigate multiple environments. Our robot design leverages a scissor-lift mechanism driven by a linear actuator as its primary structure to achieve shape morphing. The transformation enables a volume change from 255.00 cm3 to 423.75 cm3, modulating the buoyant force to counteract a downward force of 3.237 N due to 330 g mass of the robot. A bell-crank linkage is integrated with the scissor-lift mechanism, which adjusts the servo-actuated limbs by 90 degrees, allowing a seamless transition between crawling and swimming modes. The robot is fully waterproof, using thermoplastic polyurethane (TPU) fabric to ensure functionality in aquatic environments. The robot can operate untethered for two hours with an onboard battery of 1000 mA h. Our experimental results demonstrate multi-environment locomotion, including crawling on the land, crawling on the underwater floor, swimming on the water surface, and bimodal buoyancy adjustment to submerge underwater or resurface. These findings show the potential of shape morphing to create versatile and energy efficient robotic platforms suitable for diverse environments.
Underactuated Biomimetic Autonomous Underwater Vehicle for Ecosystem Monitoring
Singh, Kaustubh, Kumar, Shivam, Pawar, Shashikant, Manjanna, Sandeep
Abstract-- In this paper we present an underactuated biomimetic underwater robot that is suitable for ecosystem monitoring in both marine and freshwater environments. We present an updated mechanical design for a fish-like robot and propose minimal actuation behaviors learned using reinforcement learning techniques. We present our preliminary mechanical design of the tail oscillation mechanism and illustrate the swimming behaviors on FishGym simulator, where the reinforcement learning techniques will be tested on. I. INTRODUCTION Recent years have seen growing interest in underwater exploration for ecosystem monitoring, marine education, navigation and rescue. Bio-inspired soft robots, particularly fish-like ones, are well suited for observing marine ecosystems that are fragile and undisturbed.
Robotic Classification of Divers' Swimming States using Visual Pose Keypoints as IMUs
Kutzke, Demetrious T., Wu, Ying-Kun, Terveen, Elizabeth, Sattar, Junaed
Traditional human activity recognition uses either direct image analysis or data from wearable inertial measurement units (IMUs), but can be ineffective in challenging underwater environments. We introduce a novel hybrid approach that bridges this gap to monitor scuba diver safety. Our method leverages computer vision to generate high-fidelity motion data, effectively creating a ``pseudo-IMU'' from a stream of 3D human joint keypoints. This technique circumvents the critical problem of wireless signal attenuation in water, which plagues conventional diver-worn sensors communicating with an Autonomous Underwater Vehicle (AUV). We apply this system to the vital task of identifying anomalous scuba diver behavior that signals the onset of a medical emergency such as cardiac arrest -- a leading cause of scuba diving fatalities. By integrating our classifier onboard an AUV and conducting experiments with simulated distress scenarios, we demonstrate the utility and effectiveness of our method for advancing robotic monitoring and diver safety.
Great white shark lurking near Northeast vacation spot, drone video shows
A great white shark was spotted this week swimming in the area of Scarborough, Maine. A drone video captured a great white shark lurking in the waters of a vacation spot in the Northeast. Police in Scarborough, Maine, which is located just south of Portland, confirmed this week that the shark was spotted off the state's coastline. "On Monday, August 11, 2025, Scarborough's Marine Resource Officer received a report of what appeared to be a large shark near Richmond Island and Scarborough Beach," the town wrote on its Facebook page. "Follow-up observations were conducted, and on Tuesday, August 12, 2025, the Marine Resource Officer obtained drone video footage showing a possible great white shark, estimated to be 10–12 feet in length, off the southern end of Richmond Island in the vicinity of Higgins Beach and Scarborough Beach," it added.
Feedback Control of a Single-Tail Bioinspired 59-mg Swimmer
Trygstad, Conor K., Longwell, Cody R., Gonçalves, Francisco M. F. R., Blankenship, Elijah K., Pérez-Arancibia, Néstor O.
We present an evolved steerable version of the single-tail Fish-&-Ribbon-Inspired Small Swimming Harmonic roBot (FRISSHBot), a 59-mg biologically inspired swimmer, which is driven by a new shape-memory alloy (SMA)-based bimorph actuator. The new FRISSHBot is controllable in the two-dimensional (2D) space, which enabled the first demonstration of feedback-controlled trajectory tracking of a single-tail aquatic robot with onboard actuation at the subgram scale. These new capabilities are the result of a physics-informed design with an enlarged head and shortened tail relative to those of the original platform. Enhanced by its design, this new platform achieves forward swimming speeds of up to 13.6 mm/s (0.38 Bl/s), which is over four times that of the original platform. Furthermore, when following 2D references in closed loop, the tested FRISSHBot prototype attains forward swimming speeds of up to 9.1 mm/s, root-mean-square (RMS) tracking errors as low as 2.6 mm, turning rates of up to 13.1 °/s, and turning radii as small as 10 mm.