This research presents a collaborative evolutionary planning framework for large scale grid exploration and planning problems. It caters for both dynamic and unknown environments using evolutionary techniques. In addition, we integrate the exploration and planning process in a unified framework using multi agent system. As a proof of success, we have developed extensive simulations with realist...

In most multiagent applications, communication is essential among agents to coordinate their actions, and thus achieve goal. However, often has a related cost that affects overall system performance. this paper, we draw inspiration from studies of epistemic planning develop model for allows them cooperate make decisions effectively within task. The proposed treats process as an action modifies ...

In recent times, cities have increasingly promoted bicycling as a mode of transport part their strategy to develop more sustainable transportation system. Australia is one the countries that seeks promote in significant manner. There are two primary barriers faced this effort. The first organizational complexity planning and implementing cycling-related projects, which can span across different...

We present MoCoShoP, a system that supports the collaborative process of shopping and planning furniture and interior items. The system consists of a mobile application running on the users' mobile phones and an interactive surface application deployed on shared planning desks in the furniture retail store environment. Users belonging together share a virtual shopping cart. By scanning labels a...

The coordination of plans of multiple organizations is more than formalizing the interdependences of the constituting plans. It is also about aligning the processes that lead to those plans. However, existing supply chain literature neglects operational planning processes: no general theory or framework is available about the organization of interactions that are crucial both for the individual...

Future manned space exploration missions will require collaborative activities with human astronaut and robotic agents. Proposed mission planning and execution architectures rely on reactive task planning, focusing on real-time information sharing between ground personnel, astronauts, and rovers. We present a planning/scheduling strategy that autonomously optimizes initial task plans/schedules ...