This work addresses task planning under uncertainty for precision agriculture applications whereby costs are uncertain and the gain of completing a is proportional to resource consumption (such as water in irrigation). The goal complete all tasks while prioritizing those that more urgent, subject diverse budget thresholds stochastic tasks. To describe agriculture-related environments incorporat...

Space situational awareness (SSA) plays an important role in maintaining space advantages. Task planning is one of the key technologies SSA to allocate multiple tasks satellites, so that a satellite may be allocated supervise objects, and object supervised by satellites. This paper proposes hierarchical distributed task-planning framework for systems with focus on fast effective task customized...

We consider a multi-robot system with team of collaborative robots and multiple tasks that emerges over time. propose fully decentralized task path planning (DTPP) framework consisting allocation module localized module. Each is modeled as Markov Decision Process (MDP) or Mixed Observed (MOMDP) depending on whether full states partial are observable. The then aims at maximizing the expected pur...