The 2026 season has officially redefined the playing field for scholastic robotics, moving beyond simple obstacle courses to dynamic environments where robots must react to unpredictable challenges in ...
In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.
Learn how agentic AI enables robotic navigation by combining perception, SLAM, reasoning, and planning in dynamic ...
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Mastering robotics competitions from code to motion
From student-built machines to advanced research prototypes, robotics competitions demand a blend of smart algorithms, precise motion control, and efficient design. Teams integrate proven path ...
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