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About

Andrew Drenner is a robotics and computer vision researcher whose work spans mobile robotics, distributed robotic systems, and automated surveillance. Based at the University of Minnesota's Center for Distributed Robotics, Drenner has made significant contributions to the design and deployment of small-scale robotic platforms, most notably through his work on the Scout robot and the Loper — a quadruped-hybrid stair-climbing robot featuring an innovative Tri-lobe wheel design that enables navigation across challenging terrain. His enhancements to the Scout platform, addressing mobility and communication limitations, have been widely recognized, accumulating nearly 90 combined citations. Drenner's most cited work, "Optimal Camera Placement for Automated Surveillance Tasks" (107 citations), reflects his parallel expertise in computer vision, where he developed algorithmic frameworks for maximizing camera observability in dynamic environments and human activity recognition. His research also tackles critical operational challenges in multi-robot teams, including docking station relocation strategies, intelligent power management, and vision-based leader-follower formation algorithms. With over 400 cumulative citations across his publications, Drenner's interdisciplinary contributions have meaningfully advanced the fields of autonomous robotics and intelligent surveillance systems.