Antonio Leccese
Papers
2
Total Citations
30
H-Index
2
About
Antonio Leccese is a leading researcher in the field of multi-robot systems, with a primary focus on decentralized swarm aggregation, connectivity preservation, and obstacle avoidance under realistic constraints. His work addresses fundamental challenges in collective robotics, particularly how teams of mobile robots can coordinate effectively when operating with limited sensing and communication ranges, as well as bounded actuator inputs. Leccese’s most notable contribution is a novel decentralized swarm aggregation algorithm that integrates obstacle avoidance while relying solely on local interactions within a robot’s visibility neighborhood—a critical advancement for real-world deployment. This work, published in 2013, has garnered 24 citations, reflecting its influence on subsequent research in swarm robotics. Additionally, his 2014 study on connectivity preservation for multi-robot systems, which ensures that robots maintain communication links while pursuing collective control objectives, has earned 6 citations. Leccese’s research is distinguished by its practical focus on actuator saturations and bounded inputs, bridging the gap between theoretical swarm algorithms and physical robot limitations. His contributions are essential reading for students and researchers working on scalable, robust multi-robot coordination in cluttered or communication-constrained environments.
Research Focus
Key Achievements
Top Papers
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- 2