Angelo Caregnato‐Neto
Papers
4
Total Citations
17
H-Index
2
About
Angelo Caregnato-Neto is a robotics and control systems researcher whose work centers on multi-agent systems, motion planning, and robust control for autonomous mobile robots. His research addresses some of the most challenging problems in coordinated robotics: enabling groups of nonholonomic and differential drive robots to navigate complex environments while maintaining reliable communication networks and avoiding collisions. His most impactful contribution, "Real-time Motion Planning and Decision-Making for a Group of Differential Drive Robots Under Connectivity Constraints" (2022, 11 citations), introduced a multirate hierarchical control architecture combining robust Model Predictive Control (MPC) with mixed-integer programming — a sophisticated framework that simultaneously handles trajectory planning and task assignment in real time. This work established him as a significant voice in constrained multi-robot coordination. His broader portfolio extends this foundation to emerging communication technologies, notably Visible Light Communication (VLC), demonstrating practical applications in inspection robotics where connectivity requirements are particularly demanding. Caregnato-Neto's research is distinguished by its mathematical rigor and real-world applicability, bridging theoretical control design with deployable robotic systems. For students exploring autonomous systems, multi-agent coordination, or optimization-based control, his publications offer a compelling entry point into the intersection of robust control theory and modern robotics.
Research Focus
Key Achievements
Top Papers
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