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Zsolt Kira conducts research in the areas of perception for robotics, focusing on human-robot interaction (e.g. human control of distributed swarms) and distributed knowledge sharing in heterogeneous robot teams. Currently, he is a research scientist working in the Aerospace, Transportation & Advanced Systems Laboratory (ATAS) at the Georgia Tech Research Institute.
Previously, Kira worked at SRI International Sarnoff in Princeton, N.J. His research spans the areas of robotics, human-robot interaction, machine learning, distributed sensing and computer vision. Specifically, he is interested in perception and learning for robotics, focusing on two important areas:
Distributed Perception: Kira is interested in how heterogeneous robots with different modalities can coordinate, communicate and share knowledge. His main research area during his doctoral training under the direction of Dr. Ron Arkin was robotics, focusing on learning, coordination and knowledge in heterogeneous robot teams. His 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). He used information theoretic metrics to allow robots that differ perceptually to build models of their similarities and differences to facilitate such knowledge sharing.
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? Kira is also 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.
Institute for Robotics & Intelligent Machines
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