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About

Erickson R. Nascimento is a robotics and artificial intelligence researcher whose work spans autonomous navigation, semantic mapping, and human-robot interaction, with particular emphasis on applying these technologies to challenging real-world environments such as mining and confined spaces. He is perhaps best recognized for his contributions to the EspeleoRobô project, a semi-autonomous robotic platform designed for inspection and mapping in confined spaces, which has garnered 44 citations since its 2021 publication. Nascimento has also made significant strides in semantic map augmentation, developing learning-based frameworks that integrate visual and depth data with deep neural networks to enrich robotic environment representations — work that has collectively attracted nearly 50 citations across two related publications. His research extends into teleoperation of excavator-like manipulators with force feedback, cooperative aerial magnetic surveying for mining applications, and fault-tolerant multi-robot routing. Notably, his early work on socially acceptable robot navigation reflects a longstanding commitment to safe, human-aware autonomous systems. Across his portfolio, Nascimento demonstrates a consistent drive to bridge theoretical robotics research with practical industrial and societal applications, making his work particularly valuable for students interested in field robotics and intelligent autonomous systems.