In this episode, Audrow Nash interviews Amy Loutfi, a professor at Örebro University, about how semantic representations can be used to help robots reason about the world. Loutfi discusses semantics in general, as well as how semantics have been used for a simulated quad rotor to do path planning within constraints.
Amy Loutfi is head of the Center for Applied Autonomous Sensor Systems (www.aass.oru.se) at Örebro University. She is also a professor in Information Technology at Örebro University. She received her Ph.d in Computer Science with a focus on the integration of artificial olfaction on robotic and intelligent systems. She currently leads one of the labs at the Center, the machine perception and interaction lab (www.mpi.aass.oru.se). Her general interests are in the area of integration of artificial intelligence with autonomous systems, and over the years has looked into applications where robots closely interact with humans in both industry and domestic environments.
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Robohub Podcast is a non-profit robotics podcast where we interview experts in robotics, including researchers, entrepreneurs, policy makers, and venture capitalists. Our interviewers are researchers, entrepreneurs, and engineers involved in robotics. Our interviews are technical and, often, get into the details of what we are discussing, but we make an effort to have our interviews understandable to a general audience.