Current Research

Current Research

A first area of research focus is on the coordinated control of communication-enabled mobile robots and vehicles. These robots are equipped with on-board CPUs and various sensors which are linked to other robots/vehicles and the surrounding environment. Our mobile robots emulate autonomous and connected vehicles with vehicle-to-vehicle (V2V), Vehicle-to Infrastructure (V2I) and Vehicle to other entities (V2X) (such as road users, pedestrians, bicyclists, etc.) communications. We are developing and evaluating hybrid hierarchical control algorithms for autonomous driving, platooning, merging, collision avoidance, and several other dynamic coordinated functions of intelligent vehicles and robots in complex environments.

A second area of focus is driving safety, developing and conducting research on Advanced Driver Assistance Systems (ADAS), and active safety, with a special interest in mixed mode of autonomous and manual driving. In one area, we seek to understand driver cognitive perception-response abilities through human brain, eye, and physiological monitoring and modeling human motor control actions. The in-depth understanding of the driver’s perception response to external stimuli enables development of more coherent and rational ADAS, thus leading to more intelligent vehicles. These vehicles appropriately interact with drivers as needed and augment driving functions automatically as a continuously supporting co-pilot. Driving, due to its complexity and involvement of continuous sensing, decision making, and perception-response tasks, is a suitable test bed for human brain monitoring and studies. However, part of our research discoveries would be equally useful and applicable to other brain controlled tasks and functions such as limb control, patient rehabilitation, or brain control of machines.