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About

Daniel Costa Ramos is a researcher focused on the intersection of autonomous systems, cooperative robotics, and wireless networking. His work centers on developing path planning and control strategies for multi-agent systems, particularly aircraft swarms and teams of mobile robots operating in communication-constrained environments. His most cited paper, "Modified Artificial Potential Field for the Path Planning of Aircraft Swarms in Three-Dimensional Environments" (2022, 41 citations), introduces an innovative approach to safe, computationally efficient swarm navigation in obstacle-rich spaces. Ramos also made foundational contributions to simulation methodology, designing a method for evaluating ad hoc networked mobile robotic systems using OMNeT++ (2016), which enables realistic testing of cooperative control strategies under network interference. His research on consensus control in mobile robot teams, including studies on the impact of alien networks and network interference on cooperative behavior, addresses critical challenges in deploying reliable multi-robot systems for search, rescue, and surveillance. By integrating robotic control with realistic network simulation, Ramos provides essential tools and insights for advancing autonomous, communication-dependent multi-agent systems.