Antonio Adaldo

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About

Antonio Adaldo’s research lies at the intersection of multi-robot systems, cooperative control, and autonomous surveillance, with a focus on enabling teams of robots to perform complex spatial tasks without centralized coordination. His most cited work, “Cooperative coverage for surveillance of 3D structures” (2017, 26 citations), introduces a planning algorithm that allows a network of robotic sensors to collaboratively monitor the external surfaces of three-dimensional structures—a critical capability for infrastructure inspection, search-and-rescue, and environmental monitoring. In a complementary study, “Tracking a mobile target by multi-robot circumnavigation using bearing measurements” (2017, 22 citations), Adaldo develops a distributed algorithm that enables agents to estimate a target’s position and autonomously form a regular polygon around it while maintaining a desired distance, advancing the state of the art in target tracking with minimal sensing requirements. Though his earlier workshop paper “Autonomous Robots and Multirobot Systems (ARMS 2014)” (3 citations) is less cited, it reflects his sustained engagement with the field. Adaldo’s contributions are notable for their practical orientation—bridging theoretical control with real-world deployment constraints—and have influenced subsequent work in cooperative robotics and distributed sensing.