Max Robotics — Global Service Robot Directory + US Certification

About

Mirco Alpen’s research lies at the intersection of autonomous robotics, simultaneous localization and mapping (SLAM), and intelligent exploration. His major contributions center on enabling real-time, on-board SLAM for indoor unmanned aerial vehicles (UAVs) using lightweight laser range finders—a critical step toward fully autonomous indoor flight. His 2010 paper, “On-board SLAM for indoor UAV using a laser range finder,” with 10 citations, introduced a novel algorithm that merges new scans into a global map without iteration, dramatically reducing computational load. This work evolved into his “Orthogonal SLAM” framework, detailed in a series of papers (2011–2013), which achieved real-time performance on resource-constrained platforms. Alpen also advanced the theory of source seeking with his 2020 paper “Limited Gradient Criterion for Global Source Seeking with Mobile Robots,” which guarantees finding the global extremum of a field distribution under bounded gradient assumptions—a result with implications for environmental monitoring and search-and-rescue. His early work on time-efficient exploration strategies for ground robots further demonstrates his commitment to practical, real-world autonomy. With a career spanning foundational SLAM algorithms to gradient-based control, Alpen’s research has shaped how robots navigate and explore unknown indoor environments.