<html><body><div style="font-family: arial,helvetica,sans-serif; font-size: 12pt; color: #000000">Colloquium Speaker <br><a href="http://www.stat.ucla.edu/%7Esczhu/" target="_blank">Song-Chun Zhu</a>, UCLA <br>Monday, November 16- 12:30pm <br>Computer Science 105 <br><br>A Cognitive Architecture for Human-Robot Collaborations Based on Spatial, Temporal and Causal And-Or Graphs<br><br>In
this talk, I will present an ongoing effort for developing autonomous
robots that can collaborate with humans in real world scenes and tasks.
One objective is to explore a cognitive architecture that can embrace
modern progresses in vision, cognition, learning, NLP, and cognitive
robot using a unified knowledge representation --- the spatial, temporal
and causal ang-or graph (STC-AOG). The STC-AOG is a probabilistic,
graphical and compositional model that represents stochastic context
sensitive grammars for the hierarchical structures in scenes and objects
(spatial), in events and actions (temporal), and in the effects of
actions on the scenes (causal). In addition, the representation must
also consider the theory of mind, i.e the beliefs and intents of others,
for collaborations. I will show a few examples of human robot
collaborations. <br><br>Song-Chun Zhu received a Ph.D. degree from
Harvard University in 1996. He is currently a professor of Statistics
and Computer Science, and director of the Center for Vision, Learning,
Cognition and Autonomy at UCLA. His work in computer vision received a
number of honors, including the Marr Prize in 2003 for image parsing,
the Marr Prize honorary nominations in 1999 for texture modeling and
2007 for object modeling. As a junior faculty he received the Sloan
Fellow in Computer Science, NSF Career Award, and ONR Young Investigator
Award in 2001. In 2008 he received the Aggarwal prize from the Intl
Association of Pattern Recognition for “contributions to a unified
foundation for visual pattern conceptualization, modeling, learning, and
inference”. He received the Helmholtz Test-of-time prize at 2013. He is
a fellow of the IEEE Computer Society since 2011. He is PI of two
consecutive ONR MURI projects on Scene/Event Understanding and
Commonsense Reasoning respectively. In recent years, he is also
interested in situated dialogues and cognitive robots with the support
of DARPA MSEE and SIMPLEX projects.<br></div></body></html>