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Events for February 19, 2013
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Mark Riedl (Georgia Tech): Intelligent Narrative Generation: Creativity, Engagement, and Cognition
Tue, Feb 19, 2013 @ 10:00 AM - 11:30 AM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Mark Riedl , Georgia Tech
Talk Title: Intelligent Narrative Generation: Creativity, Engagement, and Cognition
Series: CS Colloquium
Abstract: Storytelling is a pervasive part of the human experience--we as humans tell stories to communicate, inform, entertain, and educate. Indeed there is evidence to suggest that narrative is a fundamental means by which we organize, understand, and explain the world. In this talk, I present research on artificial intelligence approaches to the generation of narrative structures using planning and case-based reasoning. I discuss how computational story generation capabilities facilitate the creation of engaging, interactive user experiences in virtual worlds, computer games, and training simulations. I conclude with an ongoing research effort toward generalized computational narrative intelligence in which a system learns from experiences mediated through crowdsourcing platforms.
Biography: Mark Riedl is an Assistant Professor in the Georgia Tech School of Interactive Computing and director of the Entertainment Intelligence Lab. Dr. Riedl's research focuses on the intersection of artificial intelligence, virtual worlds, and storytelling. The principle research question Dr. Riedl addresses through his research is: how can intelligent computational systems reason about and autonomously create engaging experiences for users of virtual worlds and computer games. Dr. Riedl earned a PhD degree in 2004 from North Carolina State University, where he developed intelligent systems for generating stories and managing interactive user experiences in computer games. From 2004 to 2007, Dr. Riedl was a Research Scientist at the University of Southern California Institute for Creative Technologies where he researched and developed interactive, narrative-based training systems. Dr. Riedl joined the Georgia Tech College of Computing in 2007 and in 2011 he received a DARPA Young Faculty Award for his work on artificial intelligence, narrative, and virtual worlds. His research is supported by the NSF, DARPA, the U.S. Army, and Disney.
Host: Dr. Michael Zyda
Location: Ronald Tutor Hall of Engineering (RTH) - 321
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Dr. Vangelis Lympouridis: Design and prototyping in Whole Body Interaction
Tue, Feb 19, 2013 @ 12:00 PM - 01:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Vangelis Lympouridis, USC School of Cinematic Arts
Talk Title: Design and prototyping in Whole Body Interaction
Series: CS Colloquium
Abstract: The increasing interest in Whole Body Interaction (WBI) emerges in parallel with the development of new technologies for motion tracking, such as Microsoft's Kinect and a wide range of miniature inertial sensors, as well as a broader discussion on the design methodologies and the application of interactive systems in various contexts. WBI systems are expected to deliver meaningful digital responses based on the tracking and analysis of human actions. Body controlled applications need to be realized within a multidimensional design space and must operate through a wide spectrum of contexts. Artistic applications require a different design approach and an open ended collaboration schema for their realization. This presentation discusses various approaches and technologies for WBI design and prototyping in artistic, interactive entertainment and health application contexts.
Biography: Dr. Vangelis Lympouridis is a visiting scholar at USC's School of Cinematic Arts and works for the Creative Media & Behavioral Health Center within the Interactive Media Division. He was awarded his PhD on "Design Strategies for Whole Body Interactive Performance Systems" from the University of Edinburgh and holds an MSc in Sound Design from the same university and a BFA(Hons) in Sculpture and Environmental Art from the Glasgow School of Art. He is interested in technologies for body tracking and the design of whole body interactions primarily for music, dance, theater, interactive entertainment and rehabilitation applications. He has published and participated to various conferences such as NIME, SMC, ACM SIGCHI, ACM SIGGRAPH, IEEE VR, The Bodycomputing conference and selected papers and his academic profile can be found at his academia.edu page. Vangelis has presented and exhibited personal and site-specific work during workshops and residencies in the UK, US, Canada, Greece, Portugal and Italy, and was a member of the team representing Greece at the 11th Venice Biennial of Architecture in 2008,with the interactive installation ââ¬ÅAthens by Soundââ¬Â.
A copy of his PhD thesis can be downloaded here.
Host: Gerard Medioni
Location: Hedco Neurosciences Building (HNB) - 107
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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CS Colloquium: Michael Kaess (CSAIL, MIT)
Tue, Feb 19, 2013 @ 03:30 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Michael Kaess, CSAIL, MIT
Talk Title: Robust and Efficient Real-time Mapping for Autonomous Robots
Series: CS Colloquium
Abstract: We are starting to see the emergence of autonomous robots that operate outside of controlled factory environments in various applications ranging from driverless cars, space and underwater exploration to service robots for businesses and homes. One of the very first challenges encountered on the way to autonomy is perception: obtaining information about the environment that allows the robot to efficiently navigate through, interact with and manipulate it. Moreover, in many such applications, models of the environment are either unavailable or outdated, thus necessitating real-time robotic mapping using onboard sensors.
In this talk I will present my recent research on efficient optimization techniques for robotic mapping, and in particular focus on the recently developed incremental nonlinear least-squares solver, termed incremental smoothing and mapping (iSAM2). Based on our new probabilistic model called the Bayes tree, iSAM2 efficiently updates an existing solution to a least-squares problem after new measurements are added. I will describe some of the key aspects of my work and also address robustness in optimization. Lastly, I will present applications enabled by iSAM2 including our long-term visual mapping and Kintinuous -- our recent work on dense mapping with RGB-D cameras.
Biography: Michael Kaess is a Research Scientist in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT), where he previously also was a Postdoctoral Associate. He received the Ph.D. and M.S. degrees in computer science from the Georgia Institute of Technology in 2008 and 2002, respectively. His research focuses on probabilistic methods for robot perception. He was one of the two runner-ups for the 2012 Volz dissertation award for the best U.S. Ph.D. thesis in robotics and automation that takes into account impact four years after publication.
Host: Fei Sha
Location: Seaver Science Library (SSL) - 150
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
