Antonio Boccia
Papers
1
Total Citations
22
H-Index
1
About
Antonio Boccia is a researcher in multi-robot systems and distributed control, with a focus on autonomous coordination and target tracking. His most-cited work, “Tracking a mobile target by multi-robot circumnavigation using bearing measurements” (2017, 22 citations), introduces a distributed algorithm that enables a network of agents to estimate a target’s position and encircle it in a regular polygon formation at a desired distance—using only bearing measurements. This contribution addresses key challenges in decentralized robotics, such as limited sensing and communication, and has implications for surveillance, environmental monitoring, and search-and-rescue operations. Boccia’s research advances the theoretical foundations of multi-agent circumnavigation, offering scalable solutions for real-world autonomous systems. His work is notable for its rigorous mathematical framework and practical relevance, earning recognition among peers in control and robotics communities. For students and researchers, Boccia’s studies provide a clear entry point into distributed estimation and formation control, demonstrating how minimal sensor data can achieve complex collective behaviors.
Research Focus
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Top Papers
- 1