Kristoffer Plagborg Bak Sørensen

Multi-Agent Path Planning in Complex Environments using Gaussian Belief Propagation with Global Path Finding

Multi-agent path planning is a critical challenge in robotics, requiring agents to navigate complex environments while avoiding collisions and optimizing travel efficiency. This work addresses the limitations of existing approaches by combining Gaussian belief propagation with path integration and i