I am currently a research scientist at the Georgia Tech Research Institute. Before that I was at SRI International Sarnoff in Princeton, N.J. My research spans the areas robotics, human-robot interaction, machine learning, distributed sensing, and computer vision. Specifically, I am interested in perception and learning for robotics, focusing on two important areas:
Human-Robot Interaction: As robots become increasingly common, they will have to interact with humans in everyday environments. How can robots perceive the outcome of interactions with humans? I am interested in perception algorithms capable ot accurately detecting various characteristics of the person that the robot is interacting with. This includes the use of 3D sensors such as the Kinect to allow the robot to detect gestures and other natural forms of interaction. The flip side of this is how can people naturally command many robots at once, especially when the multi-robot system is a distributed swarm.
Robot-Robot Interaction : I am interested in how heterogeneous robots with different modalities can coordinate, communicate, and share knowledge. I received my Ph.D. in 2010 from the College of Computing at Georgia Tech, where I worked at the Mobile Robot Laboratory headed by Ronald Arkin. My main research area during this time was robotics, focusing on learning, coordination, and knowledge in heterogeneous robot teams. My thesis made progress in showing how robots can teach each other, allowing the use of one robot's experiences to speed up learning on another robot (transfer learning). I used information theoretic metrics to allow robots that differ perceptually to build model of their similarities and differences to facilitate such knowledge sharing.