C Space

"C-space," or configuration space, represents the set of all possible configurations of a system, often used in robotics and computer graphics to model the possible positions and orientations of a robot arm or a human body. Current research focuses on efficiently exploring and representing C-space, particularly for high-dimensional systems, using techniques like low-rank tensor decompositions (e.g., Tucker decomposition) to reduce computational complexity and hypernetworks to adapt models to varying resolutions or data characteristics. These advancements are crucial for improving motion planning algorithms, enabling more robust and efficient manipulation in robotics, and facilitating the creation of realistic simulations for human-centered applications.