The focus of the Human-Automation Systems (HumAnS) Lab is centered around the concept of humanized intelligence, the process of embedding human cognitive capability into the control path of autonomous systems. Specifically, we study how human-inspired techniques, such as soft computing methodologies, sensing, and learning, can be used to enhance the autonomous capabilities of intelligent systems, whether virtual or physical. The lab’s efforts address issues of autonomous control as well as aspects of interaction with humans and the surrounding environment. In our research efforts, we draw on the disciplines of robotics, cognitive sensing, machine learning, computational intelligence, and human-robot interaction.
