C-Uniform Sampling for Motion and Path Planning: Introduced the notion of C-Uniformity and investigated how such sampling strategies can be used to improve sampling-based model predictive control. Learning Geometric Structures: Explores learning representations for the space of all polygons and methods to sample this learned space. Active Perception: Includes research on tracking and reconstructing dynamic objects, such as Human Follow Ahead and Articulated Object Reconstruction projects.
Research Experience
Head of Samsung's AI center in NY from 2021 to 2023; Co-founded Farm Vision Technologies; Worked at the University of Minnesota for over 16 years before moving to UT.
Background
Professor in the Department of Computer Science at the University of Texas at Austin, also a core member of Texas Robotics. Research area includes robotics applied to environmental monitoring and agricultural automation (and more recently, home automation.) Particularly interested in perception-action coupling and networked robotics.
Miscellany
Teaching CS 395T SENSOR PLANNING FOR ROBOTICS in Fall 2025.