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Control framework lets flexible robots move in tight spaces with less math
Original from TechXplore:Robotics: Control framework lets flexible robots move in tight spaces with less math

Control framework lets flexible robots move in tight spaces with less math

Recent discussions in robotics have highlighted the limitations of traditional machines, often characterized by rigid arms and mechanical movements, as exemplified by iconic characters like Optimus Prime and Bumblebee from the "Transformers" franchise. These designs, while visually striking, are impractical for navigating confined and cramped environments. Experts in the field are advocating for the development of more flexible and adaptable robotic systems that can operate effectively in such challenging spaces. This shift in focus aims to enhance the functionality of robots in real-world applications, where versatility and maneuverability are crucial. As the industry evolves, researchers are exploring innovative designs and technologies that could redefine the capabilities of robots, making them more suitable for a variety of tasks in diverse settings.

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Robotics needs a service framework.

RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.

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