Learning Latent Variable and Predictive Models of Dynamical Systems
Event Location: Newell Simon Hall 3305Abstract: A variety of learning problems in robotics, computer vision and other areas of artificial intelligence can be construed as problems of learning statistical models for dynamical systems from sequential observations. Good dynamical system models allow us to represent and predict observations in these systems, which in turn enables applications [...]
Robotics Framework for Automated Construction of Autonomous Manipulation Programs
Event Location: Newell Simon Hall 3305Abstract: Society is becoming more automated with robots beginning to perform most tasks in factories and starting to help out in home and office environments. Arguably, one of the most important functions of robots is the ability to manipulate their environment to accomplish basic tasks. However, the space of possible [...]
Intelligent Diabetes Assistant: A Telemedicine System for Modeling and Managing Blood Glucose
Event Location: GHC 7101Abstract: The creation of a diabetes management assistant that can remotely collect data, increase communication between patient and care provider, and automatically analyze all available information could improve the health of many diabetics. Individual models, taking into account nutrition, medication, and exercise, with appropriate mathematical modeling, can learn accurate representations of specific [...]
Motion Planning with Dynamic Models
Event Location: Mauldin Auditorium (NSH 1305)Bio: Emmanuel G. Collins, Jr. received the Ph.D. degree in Aeronautics and Astronautics from Purdue University in 1987. He worked for seven years in the Controls Technology Group at Harris Corporation, Melbourne, FL before joining the Department of Mechanical Engineering at the Florida A&M University – Florida State University College [...]
Three ways HRI teaches us about ourselves
Event Location: Mauldin Auditorium (NSH 1305)Bio: Brian Scassellati is an Associate Professor of Computer Science at Yale University. Using computational modeling and socially interactive robots, his research evaluates models of how infants acquire social skills and assists in the diagnosis and quantification of disorders of social development (such as autism). Dr. Scassellati received his Ph.D. [...]
Use of Active Appearance Models for Analysis and Synthesis of Naturally Occurring Behavior
Event Location: Mauldin Auditorium (NSH 1305)Bio: Jeffrey Cohn is Professor of Psychology, Associate Professor of Psychiatry, director of the Affect Analysis Group at the University of Pittsburgh, and Adjunct Faculty at the Robotics Institute, Carnegie Mellon University. He earned his PhD in Clinical Psychology from the University of Massachusetts in Amherst and completed his Clinical [...]