Francesc Esteva

Artificial Intelligence Research Institute

Papers

Total Citations

H-Index

About

Francesc Esteva is a robotics researcher whose work has focused on the fascinating challenge of autonomous robot navigation and cooperative multi-robot systems. His most significant contributions center on enabling low-cost robots to collaboratively map and explore previously unknown structured environments — a problem with profound implications for search-and-rescue operations, industrial automation, and autonomous exploration. Esteva's most influential work, published in 1998, has garnered 33 citations and investigates how teams of inexpensive robots can coordinate to generate accurate maps of orthogonal, structured environments without prior knowledge of their layout. A particularly innovative aspect of his research is the introduction of adaptive behavioral states — routine, normal, and anxious — that dynamically govern individual robot responses, ultimately improving collective coverage efficiency. Earlier foundational work from 1997 further established the cooperative exploration framework that underpins these results. With a combined citation count approaching 55 across his key publications, Esteva's research helped lay important groundwork during a formative period in swarm robotics and multi-agent systems. His emphasis on cost-effective hardware without sacrificing collaborative intelligence reflects a pragmatic and forward-thinking approach that continues to resonate in modern robotics research.