Rigid Motion

Rigid motion, the movement of an object without deformation, is a fundamental concept across numerous scientific disciplines, with current research focusing on accurate and efficient estimation and compensation of such motion. This involves developing sophisticated algorithms, often leveraging deep learning architectures like neural networks and graph neural networks, to analyze data from various sources, including point clouds, images, and sensor readings. Applications range from improving medical imaging (e.g., MRI, PET) by correcting for patient movement to enabling precise robotic manipulation and autonomous navigation in challenging environments, ultimately advancing fields like healthcare, robotics, and computer vision.