Alexandre Barreto Costa

Papers

Total Citations

214

H-Index

About

Alexandre Barreto Costa is a pioneering roboticist whose work bridges the gap between mechanical design and autonomous navigation. His research centers on two key areas: hyper-redundant mechanisms for search and rescue, and simultaneous localization and mapping (SLAM) for mobile robots. Costa’s most influential contribution is the introduction of a mobile hyper-redundant robot, inspired by an elephant’s trunk, mounted on a wheeled base. This system, detailed in his 2004 paper with 188 citations, can inspect both accessible areas and confined spaces like small cracks and pipes, dramatically expanding the reach of rescue robots. In parallel, his 2004 work on bearing-only landmark initialization tackles a fundamental challenge in SLAM—building maps and localizing without prior knowledge of landmarks or data associations. Though less cited (26 citations), this paper addresses a critical bottleneck in autonomous navigation. Together, these contributions showcase Costa’s dual impact: advancing practical hardware for disaster response and solving theoretical problems in robot perception. His work remains essential reading for researchers in field robotics and autonomous systems.