The research in the AI & Robotics group focuses on developing novel AI systems for real robot applications for manipulation tasks, e.g., grasping, pin-picking. Areas of focus include Autonomous Robot Learning (active learning, lifelong learning, intrinsic motivation) and Human-Robot Learning (imitation learning, interactive learning).

Cortical functions result from the conjoint activity of different, reciprocally connected areas working together as large-scale functionally specialized networks. In the macaque brain, neural tracers and functional data have provided evidence for functionally specialized large-scale cortical networks involving temporal, parietal, and frontal areas. One of these networks, the lateral grasping network, appears to play a primary role in controlling hand action organization and recognition. Available functional and tractograpy data suggest the existence of a human counterpart of this network.

Leah Krubitzer is a Distinguished Professor in the Department of Psychology at the University of California, Davis. Her graduate work focused on the evolution of visual cortex in primates, and she extended her research in Australia to include monotremes and marsupials. She has worked on the brains of over 45 different mammals. Her current research focuses on the impact of early experience and how culture impacts brain development. She also examines the evolution of sensory motor networks involved in manual dexterity, reaching and grasping in mammals. She received a MacArthur award for her work on evolution.