The goal of the Intelligent Robotics and Systems Laboratory is to enable robots to deal with problems and adapt to changes in tasks and environments with little to no human control or intervention.
Toward this goal, we focus on developing cognitive architectures to achieve a relatively high level of autonomy. These architectures allow robots to understand high-level, abstract, implicit knowledge beyond low-level, direct, explicit observation and use this knowledge in a flexible way to generate behaviors that compensate for limitations and/or changing conditions or to handle new situations or tasks.
We work across different applications, including assistive robots, surgery, rehabilitation and manufacturing, and we draw from optimal control, planning, reasoning, learning and cognitive science.
Dr. Xiaoli Zhang
Director, Intelligent Robotics and Systems Lab
Xiaoli Zhang, PhD
Brown Hall W310A
1610 Illinois St. | Golden, CO 80401
303-384-2343 | email@example.com