W.N. Klarquist

Science Applications International Corporation (United States), The University of Texas at Austin

Papers

Total Citations

H-Index

About

W.N. Klarquist’s research focuses on advancing autonomous robotic systems through sophisticated machine vision and multi-robot coordination. His most cited work, “Vision-guided heterogeneous mobile robot docking” (1999, 10 citations), addresses a critical challenge in DARPA’s Tactical Mobile Robotics program: enabling diverse robots to autonomously interact in complex, dynamic urban environments. This paper explores how smaller robots can dock with larger platforms, a foundational capability for deploying heterogeneous teams in real-world operations. Klarquist also contributed to 3-D scene understanding with “Stereo vision using Gabor wavelets” (2002, 5 citations), applying biologically inspired Gabor filters to extract depth information from stereo imagery—a technique relevant to robotics, industrial automation, and autonomous navigation. While his citation counts reflect a focused, niche impact, his work on vision-guided docking represents an early and practical step toward the multi-robot systems now common in search-and-rescue and military applications. Klarquist’s research bridges computer vision and robotics, offering key insights for students and engineers building cooperative, vision-based autonomous platforms.