2 papers
cs.RO2026
Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability
Yi Liu, Hongda Zhang, Leyao Zou +7
Path planning under partial observability remains challenging because an agent must make long-horizon navigation decisions from only locally bounded observations. Nevertheless, his…
cs.NE2026
Pheromone-Focused Ant Colony Optimization algorithm for path planning
Yi Liu, Hongda Zhang, Zhongxue Gan +4
Ant Colony Optimization (ACO) is a prominent swarm intelligence algorithm extensively applied to path planning. However, traditional ACO methods often exhibit shortcomings, such as…