Motion planning of an autonomous system with high-level specifications has wide applications. However, research formal languages involving timed temporal logic is still under investigation. Challenges arise when the operating environment dynamic and unknown since can be found prohibitive, leading to potentially conflicting tasks where pre-specified missions cannot fully satisfied. Such issues b...

Global path planning techniques have been widely employed in solving problems, however they found to be unsuitable for unknown environments. Contrarily, the traditional Q-learning method, which is a common reinforcement learning approach local planning, unable complete task multiple targets. To address these limitations, this paper proposes modified called Vector Field Histogram based (VFH-QL) ...

For the problem of AUV target searches in unknown underwater environments, a search algorithm for AUVs based on real-time perception map is proposed. Real-time maps, including existence probability uncertainty and pheromone maps their updating rules, are established. Attraction source status environmental information detected by The used to corner areas that high degree with low coverage around...

Autonomous vehicles can reduce labor power during cargo transportation, and then improve transportation efficiency, for example, the automated guided vehicle (AGV) in warehouse operation efficiency. To overcome limitations of traditional path planning algorithms unknown environments, such as reliance on high-precision maps, lack generalization ability, obstacle avoidance capability, this study ...