We address the problem of multi-agent path planning (MAPP) by taking into account the total energy consumption of all agents, as measured by their cumulative distance travelled. A deterministic meta-heuristic technique called guided iterative prioritized planning (GIPP) is proposed to find good solutions with respect to this cumulative cost measure in a crowded environment. GIPP progressively e...

This paper presents a robotic platform of cost-effective GPS-aided autonomous guided vehicle (AGV) for global path planning. The is made mechanical radio controlled (RC) rover and an Arduino Uno microcontroller. An installed magnetic digital compass helps determine the right direction RC by continuously synchronising heading bearing vehicle. To ensure effective monitoring vehicle’s position as ...