Papers
9
Total Citations
184
H-Index
8
About
J.M. Esposito is a leading researcher in multi-robot coordination, swarm robotics, and hybrid systems control, with a focus on ensuring reliable communication and robust motion planning in complex, dynamic environments. His most influential work, "Maintaining wireless connectivity constraints for swarms in the presence of obstacles" (67 citations), addresses a critical challenge in swarm robotics: preserving line-of-sight and range-limited communication links even when obstacles obstruct the environment. This contribution has been foundational for designing resilient, real-world robot teams. Esposito also pioneered methods for modifying closed-loop motion plans at runtime to satisfy unpredictable dynamic constraints (21 citations), and introduced multirate numerical integration for efficient robotic simulation (15 citations). His game-theoretic approach to closed-loop motion planning for mobile robots (12 citations) provides a formal framework for handling sensor uncertainty. Notably, Esposito has adapted robotic path planning techniques—such as rapidly-exploring random trees (RRTs)—for randomized test case generation in hybrid systems (11 citations), bridging robotics and formal verification. His hierarchical, modal approach to hybrid systems control (5 citations) enables rapid development of autonomous robot applications. With a career spanning foundational theory and practical algorithms, Esposito’s work continues to influence swarm coordination, motion planning, and system verification.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Efficient dynamic simulation of robotic systems with hierarchy15 citations · 2002
- 5Closed loop motion plans for mobile robots12 citations · 2002
- 6Randomized test case generation for hybrid systems: metric selection11 citations · 2004
- 7
- 8
- 9