Alma Perol

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About

Alma Perol is a robotics researcher whose work centers on autonomous systems, particularly the application of Simultaneous Localization and Mapping (SLAM) for service robots. Her most-cited paper, "Application of Simultaneous Localization and Mapping in the Development of an Autonomous Robot" (2022, 9 citations), addresses a critical industrial challenge: the inefficiency of manual labor in repetitive tasks. Perol’s contribution lies in designing an affordable, open-source autonomous indoor service robot that leverages SLAM to navigate and map environments in real time, reducing costs and energy waste. This work bridges the gap between advanced robotics theory and practical, accessible solutions for industries like logistics and healthcare. Though early in her career, her focus on open-source development democratizes robotics technology, enabling broader adoption. Her research has been cited in studies exploring cost-effective automation and SLAM optimization, marking her as a rising voice in applied robotics. Perol’s achievements underscore a commitment to making autonomous systems both functional and financially viable, a key step toward widespread robotic integration in everyday settings.