Leveraging direct collaboration with Mexico’s National Seismological Service (SSN), BSC scientists will input real seismic parameters such as hypocenter coordinates and earthquake magnitude obtained from live seismic alerts. These data fuel sophisticated computational models that generate expansive maps highlighting the magnitude and spatial distribution of ground shaking. Unlike conventional seismic alert systems that offer rapid but generalized warnings, this approach employs physics-driven simulations to yield granular, location-specific predictions about damage likelihood. The ability to pinpoint vulnerable regions shortly after an earthquake promises transformative benefits for civil protection teams, enabling faster deployment and more targeted rescue operations.

Marisol Monterrubio Velasco, the Mexican researcher leading the initiative at BSC, emphasizes the critical role this experiment plays in validating urgent computing workflows developed at the center. “Testing these protocols in real conditions establishes their viability for operational use,” Monterrubio explains. “Our work could become instrumental in delivering rapid scientific guidance during crises, where every minute can save lives.” This simulation exercise, coordinated by the Mexican government alongside UNAM’s Institute of Geophysics and the SSN, recreates a scenario reminiscent of the catastrophic 1985 Michoacán earthquake, an 8.1 magnitude event that caused massive devastation, including thousands of fatalities and widespread homelessness.

As part of an integrated national preparedness strategy, Mexico will also activate its mobile alert system during the drill, simultaneously broadcasting emergency messages to over 80 million phones nationwide. Audible alarms will sound prompting residents to evacuate buildings and move to designated safe zones, mirroring actual emergency protocols. This concerted simulation of alerts and scientific modeling marks a considerable leap forward in harmonizing technological advances with public safety infrastructure in earthquake-prone regions.

The MareNostrum 5 supercomputer’s urgent computing capacity forms the backbone of this innovative exercise. Researchers will gain priority access to 55 GPU nodes dedicated exclusively to running physics-based ground-shaking models across a colossal area measuring 700 km by 400 km, extending 150 km deep beneath the Earth’s crust. This resolution of 2 km, unparalleled in operational seismic simulations, covers approximately half of Mexico’s landmass. Such an allocation of resources exemplifies a novel paradigm in supercomputing: providing rapid-response computational power in the face of imminent natural disasters, respecting the time-critical nature of such events.

Urgent computing relies on predefined priority schemes that allow the immediate interruption of routine processes to execute emergency simulations without delay or human intervention. Sergi Girona, Director of Operations and CIO at BSC, describes urgent computing as a framework in which “programs, datasets, and operational procedures undergo rigorous validation beforehand to guarantee seamless, immediate run-time execution in critical scenarios.” This ensures that computational resources are dynamically reallocated to simulate emerging natural disasters, a capability rarely offered by traditional high-performance computing centers.

The broader implications of integrating such semi-automated computational workflows in disaster response are profound. This capability signals a paradigm shift toward real-time integration of supercomputing outputs into emergency management systems. By simulating the physical processes of earthquakes and other extreme events such as tsunamis, hurricanes, and volcanic eruptions with unprecedented fidelity, decision-makers can access scientifically grounded forecasts that inform evacuation orders, infrastructure inspection, and resource allocation promptly after an event.

BSC’s expertise in this area is grounded in multiple European and national projects focused on natural hazards and urgent computing, including ChEESE, eFlows4HPC, and DT-GEO. These initiatives have produced algorithmic and infrastructural tools that underpin the sophisticated workflows tested during this Mexican earthquake simulation. The ability to harness these complex numerical methods operationally demonstrates the maturation of urgent computing as an indispensable tool for societal resilience against natural disasters.

Furthermore, the center collaborates closely with Spain’s Military Emergency Unit (UME), combining supercomputing power and artificial intelligence to generate comprehensive risk scenario simulations. This partnership aims to build a digital twin of emergency situations, incorporating dynamic simulations of seismic events alongside support system development to enhance strategic response capabilities. On the continental scale, BSC also plays a crucial role in the European Commission’s Destination Earth initiative, which seeks to create digital replicas of Earth’s systems to anticipate and mitigate the effects of climate-induced extreme weather and geophysical phenomena.

The integration of real-time, physics-based earthquake modeling within national emergency drills showcases the potential of combining computational power with operational protocols for rapid disaster assessment. As climate change and urbanization increase vulnerabilities worldwide, such cutting-edge simulations offer a promising pathway to safeguard populations and infrastructure. If successful in Mexico, the model may catalyze similar deployments globally, positioning supercomputing at the vanguard of disaster preparedness and response.

With this ambitious test, the Barcelona Supercomputing Center redefines the capabilities of computational science to address some of humanity’s most pressing challenges. The MareNostrum 5 urgent computing protocol sets a precedent for on-demand, high-resolution natural hazard simulations, ensuring that when disaster strikes, science and technology will be ready to guide the first crucial moments of protection and recovery.

Subject of Research: Not applicable
Article Title: Barcelona Supercomputer Breaks New Ground in Real-Time Earthquake Simulation
News Publication Date: 17 September 2025
Image Credits: Credit: CASE / BSC – CNS
Keywords: Earthquake forecasting, Natural disasters, Computational physics, Computer modeling

This hopping robot is ingeniously designed to excel in environments where both size and mobility play crucial roles. Measuring less than the size of a human thumb and weighing lighter than a paperclip, it can infiltrate areas that larger robots, and even some aerial devices, cannot reach. This nimble design allows it to effectively maneuver through the debris of collapsed buildings, providing a critical tool for locating survivors after disasters such as earthquakes. However, achieving such agility in a small package introduces challenges, particularly concerning energy efficiency and diverse terrain navigation.

One of the prominent challenges faced by both crawling and flying robots is the inability to overcome high obstacles or traverse unstable surfaces. Crawling robots are often hindered by barriers, while while aerial robots face energy constraints that limit their operational time and range. The MIT team tackled these limitations head-on. By incorporating a hopping mechanism into its design, the robot not only conserves energy but also enhances its ability to negotiate various obstacles, making it an innovative hybrid solution for rescuers.

The workings of this ingenious robot hinge on the principles of jumping, a motion inspired by various insects known for their remarkable leaping abilities, such as grasshoppers and fleas. The MIT robot employs a spring-loaded leg that propels it into the air, allowing it to reach impressive heights of around 20 centimeters—four times its own height. This energy-efficient hopping mechanism harnesses potential energy when the robot is stationary, converting it into kinetic energy during its jump. Upon landing, kinetic energy transforms back into potential energy before the cycle repeats, exemplifying a sophisticated energy-efficient design that maximizes performance.

The core innovation lies within its construction. The robot’s leg features a compression spring akin to that found in everyday click-top pens. This cleverly designed spring is pivotal to the robot’s ability to “hop” efficiently, as it enables the conversion of downward velocity into upward velocity when the robot strikes the ground. While the spring is not entirely ideal, it can harness the altitude to amplify the robot’s jumping prowess. Complementing this mechanism are four flapping-wing modules that serve dual purposes: providing necessary lift and ensuring proper orientation during jumps. Think of them as artificial wings that help stabilize and direct the robot as it navigates through the air.

The performance of the hopping robot is significantly enhanced by an advanced control mechanism that adjusts the robot’s orientation mid-jump. This sophisticated system utilizes an external motion-tracking component to gather data on the robot’s position and trajectory. Based on its estimated landing position, the robot’s onboard controller calculates the optimal takeoff velocity for its next leap. This high-tech process ensures that the robot maintains precise control while airborne, adapting to varying surfaces and obstacles seamlessly.

In extensive testing, the MIT team confronted the robot with a variety of surfaces, including icy terrains, wet glass, grass, and uneven soil. Remarkably, the robot exhibited a high degree of adaptability, successfully navigating each type of terrain. Its agility extends to the ability to respond effectively to dynamically changing surfaces, a key advantage over traditional robots. When landing on grass, for example, it compensates for the damping effect by adjusting the thrust for the next jump, allowing for smooth transitions and consistent performance.

Not only does the robot’s lightweight design contribute to its extensive maneuverability, but it also improves its durability. Its small moment of inertia allows it to withstand impacts better than larger robots, making it less susceptible to damage during encounters with obstacles. Furthermore, the researchers demonstrated the robot’s acrobatic capabilities, showcasing its ability to execute flips and even land on a hovering drone without causing harm. This aspect hints at future possibilities where robots could collaborate in rescue missions, underscoring the potential for innovative teamwork in robotics.

The efficiency of this hopping robot extends beyond its agility; it can also handle substantial payloads relative to its size. The researchers revealed that this groundbreaking design could carry ten times more equipment than a similarly sized aerial robot, thanks to its energy-efficient hopping mechanism. This heightened capacity for carrying batteries, sensors, and circuits opens doors to numerous potential applications in real-world scenarios, including autonomous missions in emergency situations.

As the MIT team looks towards the future, they aim to enhance the robot’s autonomy. By integrating various sensors and batteries onboard, the goal is to create a fully autonomous robot capable of navigating complex environments independently, ultimately assisting first responders in critical situations. The hopping robot’s groundbreaking design and energy efficiency indicate a significant step towards more capable and versatile robotic systems.

Moreover, the implications of this research extend beyond emergency response; they hint at a new paradigm in robotics that embraces adaptability as a core element of design. The advancements in control mechanisms and energy efficiency showcased in this hop-and-flap robot could inspire future innovations across various applications—from exploration in rugged terrains and environmental monitoring to precision agriculture or even extraterrestrial missions where agility and robustness are paramount.

In conclusion, the collaboration between MIT researchers has yielded a striking example of what the future of robotics holds. Their innovative hopping robot, drawing inspiration from the natural world, is not only a testament to engineering ingenuity but also a glimpse into the potential for technology to significantly impact human safety and efficiency in search and rescue missions. The marriage of flying and jumping mechanics showcases how future robots can thrive in environments that present challenges too daunting for their predecessors, setting the stage for a new era in robotic assistance.

Subject of Research: Hopping robot locomotion inspired by insects
Article Title: Hybrid locomotion at the insect scale – combined flying and jumping for enhanced efficiency and versatility
News Publication Date: 9-Apr-2025
Web References: 10.1126/sciadv.adu4474
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Image Credits: MIT Media Relations

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