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The Soyuz MS-26 spacecraft returned to Earth after a months-long mission on the International Space Station on April 19, 2025. Along with cosmonauts Alexey Ovchinin and Ivan Vagner, the spacecraft carried NASA astronaut Don Pettit too. Undocked from the ISS, the spacecraft drifted away and began descending three hours later to land in Kazakhstan. Pettit’s time in orbit was marked by numerous scientific investigations focused on future space missions, including experiments on metal 3D printing, advanced water sanitation, plant biology, and fire behaviour in microgravity.

Back to Earth: Soyuz Returns Don Pettit and Crewmates After Scientific Mission in Orbit

As per the NASA mission summary, Pettit logged hundreds of hours on research projects aimed at enhancing long-duration spaceflight technologies. Agency updates state that the 3D printing experiments advanced additive manufacturing in weightless conditions, while the fire dynamics tests offered critical data for onboard safety measures. Research on water purification and sustainable plant growth will help support life support systems on future lunar and Martian habitats.

The Soyuz‘s successful return added another chapter to routine international crew rotation efforts between NASA and Roscosmos. The landing site in Kazakhstan remains a standard recovery zone, where helicopters and ground teams met the crew for medical checks and post-flight evaluations. Despite the early morning landing, visibility was clear, ensuring a smooth retrieval.

Pettit’s mission emphasised how the ISS remains a critical platform for microgravity research. His investigations contribute directly to ongoing goals for sustainable space exploration and planetary habitation, aligning with NASA’s Artemis and Mars-forward objectives.

With the Soyuz MS-26 crew safely home, the ISS programme continues with its next phase of operations, including further earth science, space technology testing, and international crew collaboration.

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AI Model Learns to Predict Human Gait for Smarter, Pre-Trained Exoskeleton Control

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Scientists at Georgia Tech have created an AI technique that pre-trains exoskeleton controllers using existing human motion datasets, removing the need for lengthy lab-based retraining. The system predicts joint behavior and assistance needs, enabling controllers that work as well as hand-tuned versions. This advance accelerates prototype development and could improve…

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Scientists Build One of the Most Detailed Digital Simulations of the Mouse Cortex Using Japan’s Fugaku Supercomputer

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Researchers from the Allen Institute and Japan’s University of Electro-Communications have built one of the most detailed mouse cortex simulations ever created. Using Japan’s Fugaku supercomputer, the team modeled around 10 million neurons and 26 billion synapses, recreating realistic structure and activity. The virtual cortex offers a new platform for studying br…

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UC San Diego Engineers Create Wearable Patch That Controls Robots Even in Chaotic Motion

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UC San Diego engineers have developed a soft, AI-enabled wearable patch that can interpret gestures with high accuracy even during vigorous or chaotic movement. The armband uses stretchable sensors, a custom deep-learning model, and on-chip processing to clean motion signals in real time. This breakthrough could enable intuitive robot control for rehabilitation, indus…

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