Matthew Lanting

Papers

Total Citations

H-Index

About

Matthew Lanting is a researcher whose work sits at the intersection of human-robot interaction and field robotics, with a particular focus on reducing the physical burden on dismounted infantry. His most cited paper, "Multi-modal interaction for robotics mules" (2017, 8 citations), explores how soldiers can intuitively command robotic mules—autonomous platforms designed to carry heavy equipment and supplies for small units. Lanting’s major contribution lies in advancing the usability of these systems by integrating multiple communication modalities, such as speech, gesture, and touch, to ensure seamless operation in high-stress, noisy environments. While his citation count reflects a niche but critical area of defense robotics, his work addresses a pressing need: as autonomy and perception improve, the human-machine interface must keep pace. Lanting’s research has implications for enhancing soldier safety and mission effectiveness, bridging the gap between cutting-edge robotic capabilities and practical battlefield deployment. His focus on multi-modal interaction underscores a broader commitment to making robots more accessible and responsive in complex, real-world scenarios.