Robot Relative

Robot relative pose estimation focuses on accurately determining the relative positions and orientations of multiple robots, crucial for collaborative tasks in robotics. Current research emphasizes developing scalable and robust algorithms, often employing techniques like multiconvex optimization, Gauss-Newton iteration, and distributed optimization methods such as block coordinate descent, to handle the high dimensionality and non-convexity inherent in these problems. These advancements improve the accuracy and efficiency of multi-robot coordination, particularly in GPS-denied environments, with applications ranging from swarm robotics to collaborative mapping and object tracking. The development of efficient and robust solutions is vital for enabling complex, large-scale multi-robot systems.