N. A. Tolentino-Medrano

Benemérita Universidad Autónoma de Puebla

Papers

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About

N. A. Tolentino-Medrano is a researcher in multiagent robotics, with a focus on collaborative control, event-triggered coordination, and simulation-based validation. Their most-cited work, "Event-triggered coordination of omnidirectional robots over Gazebo" (2020, 3 citations), introduces a simulation framework for omnidirectional (3,0) mobile robots that achieve consensus while avoiding collisions with both other agents and obstacles. This contribution integrates a collaborative control strategy that reduces communication overhead through event-triggered mechanisms, making multirobot systems more efficient and scalable. Tolentino-Medrano’s work is notable for bridging theoretical control algorithms with practical simulation in Gazebo, providing a reproducible platform for testing decentralized coordination. Though early in their career, their research addresses key challenges in swarm robotics and autonomous navigation, with potential applications in warehouse automation and search-and-rescue. Their approach to combining collision avoidance with consensus protocols marks a meaningful step toward safer, more reliable multiagent systems.