Besides supporting a diversity of biological entities, marine ecosystems also provide food security, climate regulation, and a protection shield for coastal environments. However, these systems come under severe threat due to environmental disasters like oil spills, resulting in immediate and long-term ecological wreckage. The methods of oil spill response available are mechanical recovery and chemical dispersants, which generally prove costly and only partially effective, particularly in the case of large-scale or remote spills. This paper presents an application of swarm robotics to enhance Restricted Vision Particle Swarm Optimization (RV-PSO) for oil spill response. With the vision of each robot being limited to a local radius and state-of-the-art optimization algorithms, RV-PSO, dynamic efficiency is brought to marine environments. Simulations prove that RV-PSO can outperform traditional PSO in many aspects, such as better coverage, more rapid oil concentration decrease, and reduced energy consumption. Dynamic operation of the vision radius in the RV-PSO and memory removal of specific state changes provide better exploration and efficiently decrease the oil concentration.