C. Carletti
Papers
1
Total Citations
2
H-Index
1
About
C. Carletti is a researcher in multi-robot systems, with a focus on collaborative perception and decentralized mapping. Their key contributions lie in developing distributed frameworks for topological map-building, enabling teams of robots to autonomously construct shared environmental representations without centralized control. Carletti’s most cited work, "A distributed Transferable Belief Model for collaborative topological map-building in multi-robot systems" (2010), introduces an innovative approach where each robot builds a local map using infrared range-finders and then fuses these maps through a Transferable Belief Model—a framework for handling uncertain and conflicting information. This work, with 2 citations, lays foundational groundwork for scalable, robust multi-robot cooperation in indoor environments. Carletti’s research is particularly relevant to applications in search-and-rescue, warehouse automation, and exploration, where teams of robots must operate reliably without constant human oversight. By addressing challenges of data fusion and belief representation, Carletti has contributed to advancing the field of distributed robotics, offering practical solutions for real-world collaborative mapping.
Research Focus
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Top Papers
- 1