Michael Gleicher

Michael Gleicher is a Professor at the University of Wisconsin-Madison, holding primary affiliation in the Department of Mechanical Engineering and additional affiliation in the Department of Computer Sciences. His research focuses on Computer Graphics, Robotics, Data Visualization, and Human-Robot Interaction. He has contributed to projects such as Re-Cinematography for video stabilization and advanced telemanipulation systems.

His work spans domains including motion editing, visualization techniques, and robotic control systems. Key themes include improving camera dynamics in casual videos, developing shared autonomy frameworks for teleoperation, and enhancing visual analytics for data exploration. Gleicher’s research integrates concepts from computer graphics, robotics, and human-computer interaction to create intuitive and effective systems.

Recent articles highlight advancements in motion planning algorithms, collaborative robotics, and visual validation methods. He has explored topics such as end-effector trajectory tracking, parameter space analysis, and multimodal data integration for geospatial visualization. His work often emphasizes practical applications, such as improving robot teleoperation interfaces and enhancing user perception in data-driven tasks.

Gleicher’s contributions include systems like RelaxedIK for robot motion synthesis and Boxer for classifier result comparison. His research has been published in top-tier venues, addressing challenges in both theoretical and applied domains of computer science and engineering.