Max Robotics — Global Service Robot Directory + US Certification

About

Elizabeth A. Schmidlin is a human factors researcher whose work sits at the intersection of human-robot interaction and teleoperation, with a particular focus on the perceptual and cognitive challenges faced by robot operators in high-stakes environments. Her most-cited contribution, a 2011 review chapter on human-robot interaction (54 citations), synthesizes a broad body of literature to inform the design of more usable personal service robots — a resource that has proven foundational for researchers and designers navigating this rapidly growing field. Much of Schmidlin's empirical work addresses a deceptively practical problem: can robot operators accurately judge whether their vehicle can fit through a narrow opening? Her 2011 study on teleoperation through apertures (24 citations) demonstrated that urban search and rescue (USAR) operators frequently misjudge passability, a finding with direct life-saving implications. Subsequent studies examined whether training improves these judgments, identifying the specific conditions under which operators develop accurate driveability assessments. Taken together, her research program has meaningfully advanced understanding of operator perception, spatial judgment, and skill acquisition in teleoperated USAR contexts, offering evidence-based guidance for training program design and robot interface development.